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Since ChatGPT exploded onto the scene in October 2022, the media has been breathless with their discussion about how it is going to impact many aspects of life and work. In order to bring this new reality of generative AI into the "Introduction to Management Information Systems" classroom at both the undergraduate and graduate levels, we have developed two short cases that can be completed in or out of the classroom. These cases allow students to use generative AI for an interesting and useful purpose and develop prompts to deliver the output. Students can begin to learn what generative AI can do for them, and how it can shape their future careers. We tested the perceived effectiveness of the project on students using a pre/post survey. The results are analyzed using a paired t-test and demonstrate that students increased their understanding of generative AI and prompt engineering.

This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays and ChatGPT generated essays. The ICNALE written corpus (Ishikawa, 2013) was used to find and randomly select the essays of four Japanese university students' written work who studied English at roughly CEFR A2 level. The AI chatbot, ChatGPT, was used to generate four essays utilizing prompts which directed the chatbot to mimic grammar mistakes common to nonnative speakers of English. Teachers were requested to identify which of the eight essays they believed to be human written or ChatGPT generated. On average, the teachers were able to identify 54.25% of items accurately. This result is slightly better than random chance, and implies that most teachers cannot make an accurate assessment on a ChatGPT generated essay when ChatGPT is prompted to make grammar mistakes.

In an upcoming coverage-comprehension study, we plan to assess learners' meaning-recall knowledge of words as they occur in the study's reading passage. As several meaning-recall test formats exist, the purpose of this small-scale study (N = 10) was to determine which of three formats was most similar to a criterion interview regarding mean score and the consistency of correct/incorrect classifications (match rate, k = 30). In Test 1, the prompt consisted of only the target item, and a written translation of its meaning was elicited. In Test 2, the prompt was a short sentence in which a target item was highlighted, and a written translation of only that target item was requested. In Test 3, the prompt was the same sentence as in Test 2, but the target item was unhighlighted, and participants were requested to translate the entire sentence. Finally, in the criterion interview, participants were asked to demonstrate their understanding of the target items in the same prompt sentences as in Tests 2-3. The results indicated that Test 3 produced a mean score and match rate most similar to the interview, followed by Test 2, with Test 1 being the least similar. The paper discusses several factors explaining differences in test performance that were explored during the interview.

This paper investigates the cognitive processes involved in English word recognition among young EFL learners using eye-tracking methodology. A quasi-experimental mixed method design was used to investigate how young L2 learners engage with basic words, with or without pictorial cues. A total of seventeen 6th-grade pupils from two schools participated in the experiment. The participants were presented with a list of 20 words and were asked to read them aloud while their eye movements were tracked to discern their viewing patterns. Immediately after the reading task, stimulated-recall interviews were conducted to triangulate and validate the participants' viewing behaviors. Results indicate that participants focused significantly more on the text than the accompanying pictures yet demonstrated better performance in recognizing and reading the words presented in a picture-based mode. Some participants reported that the pictures were not viewed because the words were easy to read. In contrast, others struggled to read certain words due to an over-reliance on their background knowledge, which sometimes led to misinterpretation. These results emphasize the importance of integrating visual cues with word recognition instruction in early language learning contexts, highlighting when and how these cues should be utilized effectively.

The future of university learning in Sub-Saharan Africa has become increasingly digitally transformed by both e-Learning, and learning analytics, post-COVID-19 pandemic. Learning analytics intervention is critical for effective support of socially-shared regulated learning skills, which are crucial for twenty-first-century e-Learners. Socially-shared regulation is the major determinant of successful collaborative e-learning. However, most e-learners lack such skills thereby facing socio-cognitive challenges, due to the unavailability of intelligent support during learning. This research aims to investigate and understand the effect of Learning Analytics instructional support using feedback and prompts, on e-learners' SSRL indicators. A theoretical model was derived from these factors and built from selected features. Both survey data and behavioral trace data were employed in the Learning analytics-based intervention. In this paper, only a segment of the data is discussed. The e-learners' perceptions and feedback confirmed that Learning Analytics-based interventions using prompts and feedback are effective in promoting SSRL in collaborative e-learning contexts. The findings indicated that the success of SSRLA-based intervention be tied to support from instructors and academic counselors, particularly feedback on previous problems and quizzes. This will improve e-learners' SSRL skills for quality educational experience, hence motivate e-learners, and help lecturers to identify at-risk learners in web programming problem-based courses. In conclusion, without adequate utilization of the Learning Analytics interventional trace data, critical information about learners' behavior patterns in terms of their online interactivity with the course activities and their SSRL profiles and strategies cannot be disclosed leading to little improvement of e-Learning interventions.

Building on previous research that has demonstrated close connections between constructivism, technology, and artificial intelligence, this article investigates the constructivist underpinnings of strategically integrating GenAI experiences in higher educational contexts to catalyze student learning. This study presents a new model for leveraging GenAI tools, for individualized, formative, peer-simulated feedback in graduate-level courses in higher education. This exploratory study presents graduate student reflections about the process and product created using ChatGPT for formative feedback with an instructor-generated prompt for an organizational behavior course. An analysis of student reflections and examples of ChatGPT-generated peer-simulated feedback, as well as an examination of ethical considerations, offer insights into the learning potential of utilizing GenAI tools for peer-simulated feedback in graduate-level courses.

This study examines the relationship between EFL students' noticing and three written feedback strategies. The convenience sampling method was adopted and four intact classes were randomly assigned into four groups: the model, the error correction, the reformulation, and the control groups. After the completion of picture-cued writing tasks as pretests, three treatment conditions and a noticing log were employed in the respective comparative activities. Focus group interviews were for triangulating the data collected from the log. There was a two-to-four-week interval between the posttest and the delayed posttest to obtain the feedback strategies' short- and long-term effects. An analytical scale was adopted to measure students' writing performance. Johnson Neyman analyses showed a significant difference among the three experimental groups in both posttests as well as that between the reformulation, the error correction, and the control groups in the posttest. Students in the reformulation and the error correction groups reported noticing grammatical problems. Those in the model group declared noticing their inability to develop ideas and describe details. Further analysis showed that learners' noticing contributed to the enhancement of content, grammar, organization, punctuation, and lexis in the model and the error correction groups.pun

Research shows that the vast majority of students who are diagnosed with learning disabilities in school are, in fact, dyslexic. Still, many students with dyslexia are not adequately identified, assessed, or supported with research-based interventions. Adults with dyslexia report struggling with reading difficulties from as early as kindergarten which impacts their learning experiences over the life span. Providing evidence-based instruction alongside supplementary digitally-mediated reading tools such as The Noah Text®--New Century program described in this article is critical for improving learning engagement and outcomes among adult learners with dyslexia, especially for the disproportionate number of learners with reading difficulties in incarcerated settings. Significant efforts are now underway to improve methods for diagnosing and treating dyslexia, including at the federal level. For example, in 2018, the First Step Act (FSA) was the first major criminal justice reform to recognize the need to identify and support adult learners with dyslexia as part of a broader effort to reduce recidivism by improving access to evidence-based educational and rehabilitative programming for justice-impacted individuals.

The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in the era of big data. Learning intervention, as a core concept of learning analytics, refers to the purposeful and planned adoption of direct or indirect strategies or behaviors based on tracking learning behaviors and integrating information about learners' characteristics to give learners personalized guidance and assistance in order to help learners break through the status quo of learning difficulties and improve their learning abilities, so as to achieve tailored teaching. In this study, data mining was conducted on the performance records of students on math problems in an online learning system, and a learning intervention suggestion prediction model was constructed on the basis of decision tree algorithm using Python, with a view to understanding the effectiveness, willingness, style, and other characteristics of the learners' online learning through the analysis results, providing personalized guidance to students, and enabling teachers to intervene with at-risk students and successfully complete the teaching goals. It was found that the most significant impact of the learning intervention advice provided to learners was the number of hints they sought during the learning process, and that learners who needed to be "intervened" or "monitored" could be categorized into two groups: independent inefficient and dependent inefficient according to the model. Therefore, teachers or adaptive learning systems should intervene in a timely and appropriate way for different types of learning crisis groups to solve the problems of poor learning performance, insufficient commitment to learning, poor learning habits, low participation in learning, low self-efficacy and other problems of learners in different learning scenarios.

A growing number of studies have probed the effectiveness of certain exercise formats in the learning of multi-word expressions (MWEs) in classroom settings. However, a number of important variables, such as MWE retention over an extended period of time and the role of repetition, have so far not been considered. Furthermore, studies have focused primarily on university level learners, with young L2 learners being almost entirely disregarded. The present study sought to address these gaps with 148 high school students who were randomly assigned one of three fill-in-the-gap exercises: (1) word-format, where participants selected the appropriate verb from a list provided; (2) letter-format, where the first-letter of the missing verb was provided as a clue; and (3) phrase-format, where participants chose an appropriate intact phrase from a list. Participants did the exercise once, twice or three times. The study investigated the effects of exercise format and repetition on the learning of 20 verb-noun collocations, one and eight weeks following the treatment. Results from generalized linear mixed-effects modeling showed that both exercise and repetition had significant impact on the learnability of the target MWEs, but the format had a smaller effect size than repetition. Rasch analysis was also used to examine the potential difference in the difficulty of MWEs, and how this difficulty may interact with the exercise format. The findings largely support previous research, but also underline the importance of repetition and suggest that exercise format does not uniformly interact with the learnability of MWEs.

Persuasiveness in oral communication in English can be expressed with various vocal phonetic cues that may not be readily accessible to English second language (L2) learners whose native language may employ a different set of cues. With a goal to increase L2 learners' perceived spoken confidence and persuasiveness, and obtain empirical evidence for phonetic adjustments that native English speakers make to influence listeners, the current study explored the use of consonant prolongation in stressed syllable onsets for emphasis by native British English speakers and English L2 learners. The native speakers' durations of continuant consonants and voiceless stop consonant voice onset times (VOTs) in (1) neutrally-produced speech and (2) persuasively delivered motivational/shocking/emotional messages were compared to Latvian L2 English speakers' productions. The results revealed that in persuasive speech, the British speakers' consonantal durations, particularly those of continuants, got significantly longer relative to the vowels that followed them; for English L2 learners, the duration of consonants did not change as a factor of speech type. This is in line with our previous research with American English speakers and carries implications for L2 speech learning and teaching.

This article examines ambulant vendors' labour on a Buenos Aires trainline. It explores how vendors employ a range of verbal and embodied resources to navigate the challenges of sustaining attention from commuters and manage the progressivity of their sales pitch as they achieve individual service encounters and deal with physical obstructions intrinsic to the local ecology of the train and the contingencies of earning a livelihood on the move. An interactional pragmatics analysis of vendors' working practices as video-recorded by them coupled with ethnographic observations, reveals the complex interplay of verbal and embodied cues, spatial arrangements, and temporal constraints in relation to the progressivity of their sales pitch. The findings challenge long-held negative views of vendors' presence in public space by highlighting the methodical approach, dexterity, and civility of their working practices, and how their labour fills a gap in the market. The article provides new insights into the dynamics of urban labour in public spaces and the intrinsicality of multimodality to manoeuvre round the unequal conditions these workers inhabit.

The present study was designed to understand and optimize self-assessment accuracy in cognitive skill acquisition through example-based learning. We focused on the initial problem-solving phase, which follows after studying worked examples. At the end of this phase, it is important that learners are aware whether they have already understood the solution procedure. In Experiment 1, we tested whether self-assessment accuracy depended on whether learners were prompted to infer their self-assessments from explanation-based cues (ability to explain the problems' solutions) or from performance-based cues (problem-solving performance) and on whether learners were informed about the to-be-monitored cue before or only after the problem-solving phase. We found that performance-based cues resulted in better self-assessment accuracy and that informing learners about the to-be-monitored cue before problem-solving enhanced self-assessment accuracy. In Experiment 2, we again tested whether self-assessment accuracy depended on whether learners were prompted to infer their self-assessments from explanation- or performance-based cues. We furthermore varied whether learners received instruction on criteria for interpreting the cues and whether learners were prompted to self-explain during problem-solving. When learners received no further instructional support, like in Experiment 1, performance-based cues yielded better self-assessment accuracy. Only when learners who were prompted to infer their self-assessments from explanation-based cues received both cue criteria instruction and prompts to engage in self-explaining during problem-solving did they show similar self-assessment accuracy as learners who utilized performance-based cues. Overall, we conclude that it is more efficient to prompt learners to monitor performance-based rather than explanation-based cues in the initial problem-solving phase.

Studying texts constitutes a significant part of student learning in health professions education. Key to learning from text is the ability to effectively monitor one's own cognitive performance and take appropriate regulatory steps for improvement. Inferential cues generated during a learning experience typically guide this monitoring process. It has been shown that interventions to assist learners in using comprehension cues improve their monitoring accuracy. One such intervention is having learners to complete a diagram. Little is known, however, about how learners use cues to shape their monitoring judgments. In addition, previous research has not examined the difference in cue use between categories of learners, such as good and poor monitors. This study explored the types and patterns of cues used by participants after being subjected to a diagram completion task prior to their prediction of performance (PoP). Participants' thought processes were studied by means of a think-aloud method during diagram completion and the subsequent PoP. Results suggest that relying on comprehension-specific cues may lead to a better PoP. Poor monitors relied on multiple cue types and failed to use available cues appropriately. They gave more incorrect responses and made commission errors in the diagram, which likely led to their overconfidence. Good monitors, on the other hand, utilized cues that are predictive of learning from the diagram completion task and seemed to have relied on comprehension cues for their PoP. However, they tended to be cautious in their judgement, which probably made them underestimate themselves. These observations contribute to the current understanding of the use and effectiveness of diagram completion as a cue-prompt intervention and provide direction for future research in enhancing monitoring accuracy.

Background: Formal reflection assignments help students process and learn from engagement experiences more fully. Guided reflection can help students engage more deeply with out-of-the-classroom learning experiences and record personal learning. However, it is unknown if students perceive such assignments as valuable. Purpose: This study examined undergraduate students' attitudes toward journaling assignments during a one-week study-away experience within an academic course. Methodology/Approach: The engagement experience comprised firsthand learning about sustainability and energy practices and related policies in Colorado. Qualitative data were collected from nine participants via pre- and post-travel surveys. Thematic analysis was used. Findings/Conclusions: Four themes emerged--prompts helped to elicit quality reflections; journaling enabled integration of learning, emotions, and plans; journaling served as a retrospective resource and reinforces learning; and students felt constrained by the time commitment and public nature of journaling assignments. Implications: Findings suggest that journaling can help reinforce learning and help students monitor their learning, feelings, and plans.

Color has been investigated as a signaling cue in multimedia learning environments, guiding the learner's attention and as an emotional design element, increasing the learner's motivation and, thus, improving learning outcomes. Retrieval cues (e.g., visual cues, odor, sound) facilitating memory retrieval have been primarily investigated in learning simple word lists. Contrary to additional retrieval cues, the background color is a component that is always present in multimedia learning environments. This study investigates if the background color of learning texts as retrieval cue can enhance learning and affect cognitive load and motivation. Hypotheses are formulated according to the "Cognitive-Affective Theory of Learning with Multimedia" (CATLM) and in the setting of context-dependent memory, specifically the "Information, associated Context, and Ensemble Theory" (ICE). A 2 (related vs. unrelated background color) × 2 (with vs. without colors in the learning test) -factorial between-subjects design with an additional control group was utilized. For the control group, the background of the learning texts and learning questions was white. In total, 191 native German speakers were randomly assigned to the five groups. The findings indicate that relying solely on the background color as a retrieval cue is insufficient. Instead of facilitating memory retrieval, the background color remains context information stored separately from the item information. However, the results should be approached carefully as learning outcomes may be subject to ceiling and floor effects.

Multiple document comprehension and knowledge integration across domains are particularly important for pre-service teachers, as integrated professional knowledge forms the basis for teaching expertise and competence. This study examines the effects of instructional prompts and relevance prompts embedded in pre-service teachers' learning processes on the quality their knowledge integration in multiple document comprehension across domains. 109 pre-service teachers participated in an experimental study. They read four texts on "competencies" from different knowledge domains and wrote a text on a given scenario. Experimental group 1 was aided with instructional and relevance prompts, while experimental group 2 received only relevance prompts. The control group received no prompting. Perceived relevance of knowledge integration was assessed in a pre-post-test. Pre-service teachers' separative and integrative learning, epistemological beliefs, metacognition, study-specific self-concept, and post-experimental motivation were assessed as control variables. Participants' texts were analyzed concerning knowledge integration by raters and with computer linguistic measures. A key finding is that combined complex prompting enhances pre-service teachers perceived relevance of knowledge integration. This study found effects of prompting types on the pre-service teachers' semantic knowledge structures. Implications for transfer are discussed.

This qualitative study aims to explore how a university-level School of Marketing integrates the Sustainable Development Goals (SDGs) into curriculum, using Bloom's Taxonomy, and to develop a reflective process that could be applied within tertiary education, more broadly. The research investigates the depth of SDG integration, with marketing subject coordinators mapping the Goals within their teachings across Bloom's dimensions, then identifying and reflecting on how they are embedded. The reflective process has revealed that some subjects are directly mapped to SDGs, for example where students are required to work on an assessment task which relates to a specific Global Goal. The results also show that other subjects are indirectly mapped, such as where subject coordinators discuss topics linked to Goals or Targets but do not explicitly state this content is SDG-related. To effectively implement SDGs within teaching and learning practice, marketing subjects require an evaluation method to identify gaps and opportunities. Therefore, this reflective process enabled subject coordinators to recognize gaps in their own SDG knowledge and teaching, a process through which future marketing subject curriculum modifications can be developed, with possible applications in other disciplines.

Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can be compared easily, this is challenging for transient video-based modelling examples used in complex domains because simultaneous processing of two videos is not feasible. Objectives: To allow for such comparisons, we combined video-based modelling examples with static representations (i.e., summarizing tables) of the observed optimal and a suboptimal solution of the problem-solving process. A comparative self-explanation prompt asked learners to compare the different solution approaches. Our study investigated the impact of video-based modelling examples versus independent problem-solving on cognitive load and problem-solving skill development. Moreover, we investigated the effects of comparative versus sequential self-explanation prompts, depending on learners' prior knowledge. Methods: In an experiment, 118 automotive apprentices learned a car malfunction diagnosis strategy. Apprentices were divided into three groups: (1) modelling examples with comparative self-explanation prompts, (2) modelling examples with sequential prompts, and (3) no examples or prompts. Diagnostic knowledge and skills were assessed before and after the intervention. Cognitive load was measured retrospectively. Results and conclusions: Despite no observed effects on cognitive load, modelling examples enhanced diagnostic knowledge and diagnostic skills with scaffolds, though not independent diagnostic skills without scaffolds. The need for more practice opportunities to foster independent diagnostic skills is assumed. Additionally, comparative prompts seem promising for learners with higher prior knowledge. Takeaways: Video-based modelling examples were more beneficial for learning than practising to apply the diagnostic strategy. Static representations allow for comparisons of video examples and comparative prompts are promising for learners with higher prior knowledge (cf. expertise-reversal effect). Further research, especially on the effects on cognitive load, is necessary.

Previous literature suggests learners can adjust their encoding strategies to match the demands of the expected test format. However, it is unclear whether other forms of metacognitive control, namely, study time allocation and restudy selection, are also sensitive to expected test format. Across four experiments we examined whether learners qualitatively adjust their allocation of study time (Experiment 1) and restudy selections (Experiments 2a, 2b, and 3) when expecting a more difficult generative memory test (i.e., cued-recall) as compared to a less difficult non-generative memory test (i.e., forced-choice recognition). Counter to our predictions, we found little evidence that learners shift their study time allocation and restudy selection choices toward easier material when expecting a relatively more difficult cued recall test, even after acquiring experience with each test format. Instead, based on exploratory analyses conducted post-hoc, learners appeared to rely heavily on the success with which they retrieved associated studied information at the time that restudy selections were solicited. Moreover, counter to some extant models of self-regulated learning, learners tended to first choose difficult rather than easy items when making their restudy selections, regardless of expected test format. Together, these novel findings place new constraints on our current understanding of learners' metacognitive sensitivity to expected test format, and have important implications for current theoretical accounts of self-regulated learning.

Accurately judging students' comprehension is a key professional competence for teachers. It is crucial for adapting instruction to students' needs and thereby promoting student learning. According to the cue-utilization framework, the accuracy of teachers' judgments depends on how predictive (or diagnostic) the information (or cues) that teachers use to make judgments is of student performance. It is, however, unclear from prior studies if merely providing access to diagnostic cues aids accuracy, or whether this only helps if non-diagnostic cues are unavailable or ignored. Therefore, we investigated, using a within-subjects experimental design, the accuracy of secondary school teachers' (N = 33) judgments of anonymous students' text comprehension under four cue availability conditions: 1) non-diagnostic cues only; 2) diagnostic cues only; 3) a mix of diagnostic and non-diagnostic cues; and, 4) after an intervention informing them of the diagnosticity of cues, again a mix of diagnostic and non-diagnostic cues. Access to diagnostic cues enhanced teachers' judgment accuracy, while access to non-diagnostic cues hindered it. While teachers' judgment accuracy was not enhanced by the intervention (presumably because it was already relatively high), their diagnostic cue utilization increased, and non-diagnostic cue utilization decreased. In addition, teachers' calibration increased after the intervention: They knew better when their judgments were (in)accurate. Furthermore, teachers were quite aware that diagnostic cues are diagnostic, but their awareness that non-diagnostic cues (especially students' interest) are not, could be improved. These results could be useful in designing effective interventions to further foster teachers' judgment accuracy.

The current study examined verbal cues of veracity and deception in 911 calls reporting homicides or suicides of another person. Specifically, the current study compared differences in the presence/absence and number of potential verbal indicators between a sample of deceptive callers who concealed their role in causing the person's death and truthful callers who did not cause the person's death. Results demonstrate consistency with previously proposed indicators of veracity and deception in 911 calls. More precisely, a greater number of self-handicapping statements and descriptions of physical sensations were made by deceptive individuals, whereas truthtellers were more likely to spontaneously self-correct inaccurate statements. Practical implications and limitations are discussed.

People sometimes lie by omitting information. The information lie tellers then report could be entirely truthful. We examined whether the truthful information that lie tellers report in omission lies contains verbal cues indicating that the person is lying. We made a distinction between (i) essential information (events surrounding the omission) and non-essential information (the rest); and (ii) made a distinction between informing or not informing participants about the key event they witnessed. Participants followed a target person. Truth tellers reported all activities truthfully; lie tellers omitted the key event. Participants were or were not informed what this key event was. In the analyses we discarded the information truth tellers reported about the key event lie tellers omitted. Truth tellers reported more external and contextual details, more complications and fewer common knowledge details and self-handicapping strategies than lie tellers, but only when discussing essential information. Being informed had no effect.

Purpose: This study investigated irony comprehension by Mandarin-speaking children with cochlear implants, focusing on how prosodic and visual cues contribute to their comprehension, and whether second-order Theory of Mind is required for using these cues. Method: We tested 52 Mandarin-speaking children with cochlear implants (aged 3-7 years) and 52 age- and gender-matched children with normal hearing. All children completed a Theory of Mind test and a story comprehension test. Ironic stories were presented in three conditions, each providing different cues: (a) context-only, (b) context and prosody, and (c) context, prosody, and visual cues. Comparisons were conducted on the accuracy of story understanding across the three conditions to examine the role of prosodic and visual cues. Results: The results showed that, compared to the context-only condition, the additional prosodic and visual cues both improved the accuracy of irony comprehension for children with cochlear implants, similar to their normal-hearing peers. Furthermore, such improvements were observed for all children, regardless of whether they passed the second-order Theory of Mind test or not. Conclusions: This study is the first to demonstrate the benefits of prosodic and visual cues in irony comprehension, without reliance on second-order Theory of Mind, for Mandarin-speaking children with cochlear implants. It implies potential insights for utilizing prosodic and visual cues in intervention strategies to promote irony comprehension.

People often rely on the covariation between events to infer causality. However, covariation between cues and outcomes may change over time. In the associative learning literature, extinction provides a model to study updating of causal beliefs when a previously established relationship no longer holds. Prediction error theories can explain both extinction and protection from extinction when an inhibitory (preventive) cue is present during extinction. In three experiments using the allergist causal learning task, we found that protection could also be achieved by a hidden cause that was inferred but not physically present, so long as that cause was a plausible preventer of the outcome. We additionally showed complete protection by a physically presented cue that was neutral rather than inhibitory at the outset of extinction. Both findings are difficult to reconcile with dominant prediction error theories. However, they are compatible with the idea of theory protection, where the learner attributes the absence of the outcome to the added cue (when present) or to a hidden cause, and therefore does not need to revise their causal beliefs. Our results suggest that prediction error encourages changes in causal beliefs, but the nature of the change is determined by reasoning processes that incorporate existing knowledge of causal mechanisms and may be biased toward preservation of existing beliefs.

Spatial memory is important for supporting the successful completion of everyday activities and is a particularly vulnerable domain in late life. Grouping items together in memory, or chunking, can improve spatial memory performance. In memory for desktop scale spaces and well-learned large-scale environments, error patterns suggest that information is chunked in memory. However, the chunking mechanisms involved in learning new large-scale, navigable environments are poorly understood. In five experiments, two of which included young and older adult samples, participants watched movies depicting routes through building-sized environments while attempting to remember the locations of cued objects. We tested memory for the cued objects with virtual pointing, distance estimation, and map drawing tasks after participants viewed each route. Patterns of error failed to show consistent evidence of chunking in spatial memory across all experiments. One possibility is that chunking in spatial memory relies on visual perceptual grouping mechanisms that are not in play during encoding of large-scale spaces encountered through extended route experiences that do not afford concurrent viewing of target locations.

Many bilinguals switch languages in daily-life conversations. Although this usually happens within sentence context and with another speaker, most research on the cognitive mechanisms underlying the production of language switches has studied individual words. Here, we examined how context influences both switching frequency and the temporal cost associated with it. Sixty Bulgarian-English bilinguals named pictures in their language of choice without any context, in a sentence context, and in interaction with another (recorded) bilingual. Switching frequency was lower, and costs higher, when bilinguals switched languages with context than without context. This suggests switching costs were not an artifact of tasks without context. Furthermore, both switching frequency and costs correlated across the tasks. In addition, we examined the potential influence of sentence context and the conversation partner. Predictability in sentence context has previously been argued to reduce language competition, which in turn could influence switching. We therefore compared sentences with a predictable or unpredictable target word. As hypothesized, bilinguals were less likely to switch languages when a word was predictable in its sentence context, potentially because words in the other language were less active. The conversation partner's overall switching behaviour had little impact on a bilingual's general switching rate, showing relatively low global alignment. However, local alignment was observed as switching was influenced by the partner's switching in the immediately preceding utterance. Together, these findings show that while production tasks without context can reliably measure switching costs, studying effects of context is necessary to better capture a bilingual's language-switching behavior.

This article reports on two experiments that examine the computation of contrastive focus in Russian on the part of adult English-dominant heritage speakers and second language learners of Russian, in comparison with baseline monolinguals. The first experiment uses an acceptability judgment task to determine whether bilingual and monolingual speakers use both contextual and prosodic cues to determine the location of contrastive focus. A follow-up experiment uses two prominence detection tasks in order to separately examine participants' sensitivity to contextual vs. prosodic cues. The findings indicate that, at higher proficiency, bilingual speakers of Russian successfully use both contextual and prosodic cues to contrastive focus; with proficiency controlled for, heritage speakers do not have an advantage over second language learners in this domain. These findings are discussed in light of cross-linguistic influence and interface vulnerability.

The improvements in attention by mindfulness training have been proved. However, the effects of mindfulness training on attention to emotional stimuli were mixed. We employed a randomized, controlled design to investigate the effects of mindfulness training on attention to emotional expressions, and investigated whether baseline levels of dispositional mindfulness and emotional intelligence would moderate the intervention effects. Forty participants received 8-week mindfulness training, and another forty participants attended two lectures about mindfulness. All participants completed the visual search task, the Five Facet Mindfulness Questionnaire, and the Emotional Intelligence Scale at both pre-training and post-training. The results showed that the improvements in search efficiencies were larger in the mindfulness group than those in the control group for sad and angry faces, but not for happy faces. In addition, baseline emotional intelligence but not dispositional mindfulness played a significant moderating role in the relationship between mindfulness training and emotional attention to sadness and anger. The search efficiencies of negative emotions (i.e., anger and sadness) but not positive emotions (i.e., happiness) were significantly improved by mindfulness training. Individuals with a high level of baseline emotional intelligence showed significant improvement in search efficiencies relative to those with a low level of emotional intelligence.

In many domains, learners extract recurring units from continuous sequences. For example, in unknown languages, fluent speech is perceived as a continuous signal. Learners need to extract the underlying words from this continuous signal and then memorize them. One prominent candidate mechanism is statistical learning, whereby learners track how predictive syllables (or other items) are of one another. Syllables within the same word predict each other better than syllables straddling word boundaries. But does statistical learning lead to memories of the underlying words--or just to pairwise associations among syllables? Electrophysiological results provide the strongest evidence for the memory view. Electrophysiological responses can be time-locked to statistical word boundaries (e.g., N400s) and show rhythmic activity with a periodicity of word durations. Here, I reproduce such results with a simple Hebbian network. When exposed to statistically structured syllable sequences (and when the underlying words are not excessively long), the network activation is rhythmic with the periodicity of a word duration and activation maxima on word-final syllables. This is because word-final syllables receive more excitation from earlier syllables with which they are associated than less predictable syllables that occur earlier in words. The network is also sensitive to information whose electrophysiological correlates were used to support the encoding of ordinal positions within words. Hebbian learning can thus explain rhythmic neural activity in statistical learning tasks without any memory representations of words. Learners might thus need to rely on cues beyond statistical associations to learn the words of their native language.

Recently, several studies have suggested that metacognition emerges early in infancy and toddlerhood. However, to date, the developmental trajectory of these early metacognitive monitoring and control processes and their influence on children's later memory functioning remains poorly understood. The aim of this study was to longitudinally document the development of metacognition between the ages of 2.5 and 4.5 years and to examine the link between these early metacognitive skills and later memory performance. To do so, 69 children initially aged 29-33 months old (N[subscript T0] = 69; 32 females; M[subscript age] = 32.3 months; SD = 1.6) were tested at three time points (12-month intervals) with a recognition memory paradigm designed to assess both metacognitive monitoring, through retrospective confidence judgment, and metacognitive control, through a cue selection task (i.e., children had the opportunity to ask for a cue to help them change their memory decision). In addition, at the last session, an episodic memory task (story recall) was also administered. Our results revealed an improvement in monitoring and control processes between 2.5 and 4.5 years with above-chance performance from around age 3.5. Mixed-effects modeling also indicated that metacognitive monitoring at ages 2.5 and 4.5, but not--unexpectedly--metacognitive control, was related to children's memory performance at age 4.5. Overall, our results provide evidence to enhance our understanding of the developmental course of metacognition from toddlerhood to early childhood and suggest that metacognitive processes are involved in memory performance much earlier than had previously been shown.

When people make decisions, they act in a way that is either automatic ("rote"), or more thoughtful ("reflective"). But do people notice when "others" are behaving in a rote way, and do they care? We examine the detection of rote behavior and its consequences in U.S. adults, focusing specifically on pedagogy and learning. We establish "repetitiveness" as a cue for rote behavior (Experiment 1), and find that rote people are seen as worse teachers (Experiment 2). We also find that the more a person's feedback seems similar across groups (indicating greater rote-ness), the more negatively their teaching is evaluated (Experiment 3). A word-embedding analysis of an open-response task shows people naturally cluster rote and reflective teachers into different semantic categories (Experiment 4). We also show that repetitiveness can be decoupled from perceptions of rote-ness given contextual explanation (Experiment 5). Finally, we establish two additional cues to rote behavior that can be tied to quality of teaching (Experiment 6). These results empirically show that people detect and care about scripted behaviors in pedagogy, and suggest an important extension to formal frameworks of social reasoning.

This study used an adapted alternating treatments design to compare the effectiveness of two different procedures for fading video prompts for teaching two individuals with developmental disabilities and moderate intellectual disability to independently perform two different daily living tasks. The tasks were systematically faded from video prompts to video models or from video prompts to picture prompts. Results indicated that both methods of fading were effective for increasing the participants' level of correct, independent performance. However, all four participants scored higher on their posttests for the skill taught through the video modeling condition. Students' preferences in relation to their performance and teachers' perspectives of the video instruction are also discussed. Implications for practice and future research are included.

This study intends to examine the reading process in Chinese of two young heritage language learners through the use of retrospective miscue analysis (RMA). Retrospective miscue analysis involves both the author and the reader in reflectively discussing the reader's oral reading miscues--responses that differ from the actual text. This study confirms the notion that reading is an active sense-making process where the graphophonic, syntactic, and semantic cues as well as translanguaging skills function interdependently to assist heritage language readers with meaning construction. Strategies of sampling, predicting, substituting, and correcting are also evident in their reading. These active but "invisible" reading behaviors are not available through asking comprehension questions. Instead, they are obtained from the reflective conversations between the researcher and the students. Retrospective miscue analysis helps readers gain a deeper understanding of the reading process and enhances their metacognitive skills. This study also includes language and reading behaviors that are unique to Chinese heritage language learners as well as implications for parents and teachers.

In natural science education, experiments often lead to the collection of raw data that need to be processed into results by doing calculations. Teaching students how to approach such calculations can be done using digital learning materials that provide guidance. The goal of this study was to investigate students' behaviour regarding the use of guidance while doing scientific multi-step calculations, and to relate this behaviour to learning. Sequential pattern mining was used to (i) identify students' behaviour patterns while doing calculations in an online learning environment, (ii) study the relation between use of guidance and success on first attempt at submitting a calculated value, (iii) study the relation between students' use of guidance and learning gain, and (iv) study the relation between students' use of guidance and prior knowledge. Data showed that all students frequently used the guidance provided in the learning task. Moreover, students who used the option to check their intermediate calculations and students who studied worked examples were more likely to successfully complete the calculation on their first attempt than students who did not use this guidance. Guidance in the form of hints was used frequently. However, using the hints did not result in more success at the first attempt. We did not find a relation between learning gain and use of guidance, but we did find a trend that students with a low prior knowledge used more guidance compared to students with a high prior knowledge. The results of this study imply that providing hints and intermediate calculations is of utmost importance for students to independently complete scientific multi-step calculations.

To date, no evidence-based practices are identified for working with students who are deafblind (DB). No evidence-based practices have been identified for teaching basic self-help skills such as dressing. The present study examined the efficacy of an intervention package including the system of least prompts (SLP; i.e., SLP and least-to-most prompting), visual cues, and reinforcement to teach three self-help skills (i.e., wash hands, dry hands, entry routine) to four participants, ages 3-5 years, with vision and hearing impairments and multiple disabilities. A multiple probe across behaviors design, replicated across participants, was used to evaluate the effectiveness of an intervention package including SLP to teach self-help skills. Three of four participants increased their independence for all targeted self-help skills. A functional relation is indicated for three of four participants and provides promising evidence for use of SLP in teaching individuals with multiple disabilities that include DB.

Background: Virtual reality (VR) offers much potential for learning, but it challenges learners' orientation. Objectives: This paper investigates whether it is possible to use light or movement cues to facilitate orientation in a search task in a desktop-VR environment so that participants can better attend to the learning content presented simultaneously. Methods: In two pre-registered online experiments, we investigated the effects of cueing (light and movement) on search time, learning, and several evaluation variables. Participants were asked to find tools in a virtual workshop, while information about the respective tool was narrated. Experiment 1 (N = 60) used a within-subject design, that is, the objects were alternately highlighted by light, movement or not. For Experiment 2 (N = 159) the narration was substantially shortened, and a between-subject design was used. Cognitive load and presence were measured additionally. Results and conclusions: In Experiment 1, only the movement cue decreased search time, indicating automatic guidance of learners' attention. There was no effect of cueing on learning, which may be due to the average search time being substantially shorter than the narration, leaving sufficient time to attend to the narration exclusively. In Experiment 2 search times were significantly faster for both cueing methods, but only the light cue resulted in better learning outcomes, which could be explained by the slightly lower presence in the movement cue condition. Implications: Results imply that it is important to develop cues that automatically guide attention without reducing presence.

Dialogue and reasoning are central to mathematics. Despite a substantial body of research illustrating the benefit of talk in the classroom, an educational debate remains in schools about how much time and empowerment should be given to children to talk in lessons. For many teachers, particularly post-pandemic, there is a professional concern about the quality of children's communication skills. An example of this is that many children appear to have difficulty in engaging in productive mathematical dialogue, and struggle to articulate their reasoning strategies. This paper explores children's class-based experiences of using talk cue cards as resources intended to support dialogue and hence mathematical reasoning. A case study approach was used to explore the experiences of key stage 2 children. The study showed that talk cue cards could break down some barriers to effective communication and so enhance children's quality of mathematical reasoning, whilst supporting engagement in metatalk about reasoning. Potential implications for educators are explored in terms of both classroom and mathematical practices such as: co-constructing agreed hallmarks of high-quality talk; teacher and peer modelling; and allotting time for the exploration of the talk cue cards.

Causal reasoning is important to children's cognition and academic development. However, there have been few empirical studies on the impact of visual cues and non-verbal scaffolding on children's reasoning in continuous causal processes. Hence, the present study aims to explore how causal reasoning in continuous processes is facilitated by visual mind maps and multiple-choice questions through science experiments. By randomly selecting 136 children aged 9-13, the following results were obtained: Children provided with a mind map containing visual causal cues performed significantly better than the non-cue group on explanation tasks regardless of age differences, and children assessed using non-verbal multiple-choice questions scored significantly higher in explaining causal relationships than those using only verbal reports. This suggests that identification and explanation need to be differentiated for a more accurate evaluation of causal reasoning ability. These results have valuable implications for science curriculum and pedagogy at primary schools.

Through design and development research (DDR), we aimed to create a validated automatic question generation (AQG) system using large language models (LLMs) like ChatGPT, enhanced by prompting engineering techniques. While AQG has become increasingly integral to online learning for its efficiency in generating questions, issues such as inconsistent question quality and the absence of transparent and validated evaluation methods persist. Our research focused on creating a prompt engineering protocol tailored for AQG. This protocol underwent several iterations of refinement and validation to improve its performance. By gathering validation scores and qualitative feedback on the produced questions and the system's framework, we examined the effectiveness of the system. The study findings indicate that our combined use of LLMs and prompt engineering in AQG produces questions with statistically significant validity. Our research further illuminates academic and design considerations for AQG design in English education: (a) certain question types might not be optimal for generation via ChatGPT, (b) ChatGPT sheds light on the potential for collaborative AI-teacher efforts in question generation, especially within English education.

A word often expresses many different morphological functions. Which part of a word contributes to which part of the overall meaning is not always clear, which raises the question as to how such functions are learned. While linguistic studies tacitly assume the co-occurrence of cues and outcomes to suffice in learning these functions (Baer-Henney, Kügler, & van de Vijver, 2015; Baer-Henney & van de Vijver, 2012), error-driven learning suggests that contingency rather than contiguity is crucial (Nixon, 2020; Ramscar, Yarlett, Dye, Denny, & Thorpe, 2010). In error-driven learning, cues gain association strength if they predict a certain outcome, and they lose strength if the outcome is absent. This reduction of association strength is called unlearning. So far, it is unclear if such unlearning has consequences for cue--outcome associations beyond the ones that get reduced. To test for such consequences of unlearning, we taught participants morphophonological patterns in an artificial language learning experiment. In one block, the cues to two morphological outcomes--plural and diminutive--co-occurred within the same word forms. In another block, a single cue to only one of these two outcomes was presented in a different set of word forms. We wanted to find out, if participants unlearn this cue's association with the outcome that is not predicted by the cue alone, and if this allows the absent cue to be associated with the absent outcome. Our results show that if unlearning was possible, participants learned that the absent cue predicts the absent outcome better than if no unlearning was possible. This effect was stronger if the unlearned cue was more salient. This shows that unlearning takes place even if no alternative cues to an absent outcome are provided, which highlights that learners take both positive and negative evidence into account--as predicted by domain general error-driven learning.

Purpose: We studied the role of gender in metacognition of voice emotion recognition ability (ERA), reflected by self-rated confidence (SRC). To this end, we guided our study in two approaches: first, by examining the role of gender in voice ERA and SRC independently and second, by looking for gender effects on the ERA association with SRC. Method: We asked 100 participants (50 men, 50 women) to interpret a set of vocal expressions portrayed by 30 actors (16 men, 14 women) as defined by their emotional meaning. Targets were 180 repetitive lexical sentences articulated in congruent emotional voices (anger, sadness, surprise, happiness, fear) and neutral expressions. Trial by trial, the participants were assigned retrospective SRC based on their emotional recognition performance. Results: A binomial generalized linear mixed model (GLMM) estimating ERA accuracy revealed a significant gender effect, with women encoders (speakers) yielding higher accuracy levels than men. There was no significant effect of the decoder's (listener's) gender. A second GLMM estimating SRC found a significant effect of encoder and decoder genders, with women outperforming men. Gamma correlations were significantly greater than zero for women and men decoders. Conclusions: In spite of varying interpretations of gender in each independent rating (ERA and SRC), our results suggest that both men and women decoders were accurate in their metacognition regarding voice emotion recognition. Further research is needed to study how individuals of both genders use metacognitive knowledge in their emotional recognition and whether and how such knowledge contributes to effective social communication.

Acquisition of visual attention-following skills, notably gaze- and point-following, contributes to infants' ability to share attention with caregivers, which in turn contributes to social learning and communication. However, the development of gaze- and point-following in the first 18 months remains controversial, in part because of different testing protocols and standards. To address this, we longitudinally tested N = 43 low-risk, North American middle-class infants' tendency to follow gaze direction, pointing gestures, and gaze-and-point combinations. Infants were tested monthly from 4 to 12 months of age. To control motivational differences, infants were taught to expect contingent reward videos in the target locations. No-cue trials were included to estimate spontaneous target fixation rates. A comparison sample (N = 23) was tested at 9 and 12 months to estimate practice effects. Results showed gradual increases in both gaze- and point-following starting around 7 months, and modest month-to-month individual stability from 8 to 12 months. However, attention-following did not exceed chance levels until after 6 months. Infants rarely followed cues to locations behind them, even at 12 months. Infants followed combined gaze-and-point cues more than gaze alone, and followed points at intermediate levels (not reliably different from the other cues). The comparison group's results showed that practice effects did not explain the age-related increase in attention-following. The results corroborate and extend previous findings that North American middle-class infants' attention-following in controlled laboratory settings increases slowly and incrementally between 6 and 12 months of age.

In the search for mechanisms that contribute to dyslexia, the term "attention" has been invoked to explain performance in a variety of tasks, creating confusion since all tasks do, indeed, demand "attention." Many studies lack an experimental manipulation of attention that would be necessary to determine its influence on task performance. Nonetheless, an emerging view is that children with dyslexia have an impairment in the exogenous (automatic/reflexive) orienting of spatial attention. Here we investigated the link between exogenous attention and reading ability by presenting exogenous spatial cues in the multi-letter processing task--a task relevant for reading. The task was gamified and administered online to a large sample of children (N = 187) between 6 and 17 years. Children with dyslexia performed worse overall at rapidly recognizing and reporting strings of letters. However, we found no evidence for a difference in the utilization of exogenous spatial cues, resolving two decades of ambiguity in the field. Previous studies that claimed otherwise may have failed to distinguish attention effects from overall task performance or found spurious group differences in small samples.

It has been proposed that second language (L2) learners differ from native speakers in processing due to either influence from their native language or an inability to integrate information from multiple linguistic domains in a second language. To shed new light on the underlying mechanism of L2 processing, we used an event-related potentials (ERP) paradigm to examine the processing of sentences with "only" in English by native speakers of English and advanced Dutch learners of English. Successful processing of sentences with "only" requires rapid integration of prosodic information with semantic and syntactic information. We found that L2 listeners showed native-like processing of the acoustics of contrastive pitch accents when adjacent to "only." However, they needed more cues than L1 listeners to perform native-like in forming expectations for focus placement. Our results thus provide first ERP-based evidence for difficulty in the integration of information for focus expectation in difficult L2 constructs.

Though dynamic assessment (DA) has gained strong theoretical and empirical support over the last decades, second language (L2) practitioners have blamed it for its applicability in large classes. To ameliorate this limitation, peer-dynamic assessment (peer-DA), rooted in the conceptualization of zone of proximal development (ZPD), can be introduced and practiced as an alternative approach. Thus, this study aimed to investigate the effects of peer-DA on cultivating Iranian upper-intermediate EFL learners' interlanguage pragmatic (ILP) competence. Additionally, it was to disclose how peer-DA leads to improving the learners' ILP competence. To achieve these aims, a sample of 84 upper-intermediate EFL learners, including females was selected through a convenience sampling method at Iran Language Institute in Borujerd City, Iran. Then, a total of 37 EFL learners whose scores fell around the mean score were selected and randomly assigned to two groups, namely an experimental (n = 19) and a control (n = 18). Then, they went through a pre-test, interventions (lasting 16 one-hour sessions held two times a week), and a post-test. The experimental group's interactions were meticulously recorded. The collected data were analyzed through two independent samples t-tests, and the microgenetic development approach. Findings documented a statistically significant difference between the experimental group and control group concerning the gains of ILP competence on the post-test. Furthermore, the results of the microgenetic development analysis evidenced how the gradual, contingent prompts could lead to noticeable improvements in the learning of ILP features. These findings may have some pedagogical implications for different stakeholders.

Previous studies on lexical focus on form (FonF) have mostly centred on FonF in reading with a few pre-selected lexical items. This study investigated the contribution of oral incidental FonF to developing learners' lexical knowledge in a free discussion EFL class. Incidental FonF was provided to 15 upper-intermediate learners who participated in 10 sessions of a meaning-oriented class. To gauge the retention rate of the lexical focus on form episodes (FFEs), two individualized multiple-choice achievement tests based on the lexical FFEs the learners reported to have no previous knowledge of in their uptake sheets were administered every five sessions, and two delayed posttests were given five weeks following each immediate posttest. Moreover, the participants were asked to compose two prompt-based writings on topics selected out of the covered themes in the posttests. Thematically relevant lexical FFEs extracted from each learner's uptake sheets made up the tailored prompts per learner. Results indicated rather high effectiveness of oral incidental FonF in developing learners' receptive and productive lexical knowledge in both short and long terms. The findings also revealed that learners fail to develop knowledge of the grammatical aspects of some lexical FFEs if their attention is merely drawn to their meaning aspects.

Virtual Reality (VR) is increasingly recognized as a promising tool to enhance learning, yet research on the use of VR instructional approaches for online learning remains limited. The present study aims to address this research gap by examining the effects of VR instructional approaches and textual cues on learning. We conducted an educational VR study using a 2 x 2 + 1 between-subjects design involving 67 secondary vocational students. Participants learned computer assembly online and were exposed to either vicarious experience or direct manipulation instructional approaches, with or without textual cues. A control group received traditional online instruction using slides. We collected retention, transfer learning outcomes, cognitive load, and learning experience of students. The findings indicated that while vicarious VR had no effects on long-term retention, transfer, and learning experience, there were significant positive effects on the immediate acquisition of knowledge. Textual cues did not affect learning in general. However, for immediate knowledge gain, they did provide a positive boost to learning in VR involving direct manipulation, while they were unnecessary in vicarious VR experiences. This study contributes to how the cueing principle can be extended to educational VR contexts and expands the knowledge of vicarious VR learning.

Recent investigations on how people derive meaning from language have focused on task-dependent shifts between two cognitive systems. The symbolic (amodal) system represents meaning as the statistical relationships between words. The embodied (modal) system represents meaning through neurocognitive simulation of perceptual or sensorimotor systems associated with a word's referent. A primary finding of literature in this field is that the embodied system is only dominant when a task necessitates it, but in certain paradigms, this has only been demonstrated using nouns and adjectives. The purpose of this paper is to study whether similar effects hold with verbs. Experiment 1 evaluated a novel task in which participants rated a selection of verbs on their implied vertical movement. Ratings correlated well with distributional semantic models, establishing convergent validity, though some variance was unexplained by language statistics alone. Experiment 2 replicated previous noun-based location-cue congruency experimental paradigms with verbs and showed that the ratings obtained in Experiment 1 predicted reaction times more strongly than language statistics. Experiment 3 modified the location-cue paradigm by adding movement to create an animated, temporally decoupled, movement-verb judgment task designed to examine the relative influence of symbolic and embodied processing for verbs. Results were generally consistent with linguistic shortcut hypotheses of symbolic-embodied integrated language processing; location-cue congruence elicited processing facilitation in some conditions, and perceptual information accounted for reaction times and accuracy better than language statistics alone. These studies demonstrate novel ways in which embodied and linguistic information can be examined while using verbs as stimuli.