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Many college students believe that typing lecture notes on computers produces better notes and higher achievement than handwritten lecture notes on paper. The few studies investigating computer versus longhand note taking yielded mixed note-taking and achievement findings. The present study investigated computer versus longhand note taking but permitted note takers to revise or recopy notes during pauses interspersed throughout the lecture. Moreover, the present study analyzed notes recorded while a lecture was ongoing and following revision pauses to determine if lecture ideas and images were recorded completely or partially. Findings did not support the belief that computers aid note taking and achievement and, instead, favored longhand note taking and revision. Computer and longhand note takers recorded a comparable number of complete and partial ideas in notes while the lecture was ongoing, but longhand note takers recorded more lecture images. Among note revisers, longhand note takers added three-times-as-many complete ideas to their notes during revision as computer note takers--an important finding because note completeness predicted achievement. Achievement results showed that longhand note takers who revised notes scored more than half a letter grade higher on a lecture posttest than computer note takers who revised notes. Present findings suggest that college instructors should provide students with revision pauses to improve note taking and achievement and encourage students to record and revise notes using the longhand method. Finally, regarding the computer versus longhand note-taking debate, the need to investigate further the interplay between note-taking medium and lesson material is discussed.

We examined college instructors' perceptions of the behaviors and contextual factors that allow them to initiate and maintain rapport with their students. Phenomenological interviews with 21 college instructors indicated that instructors rely on different strategies and contextual factors to initiate and to maintain rapport with students across the semester. At the beginning of the semester, these instructors rely on a variety of connecting, common grounding, and information sharing behaviors and leverage baked-in rapport to cultivate a sense of rapport from their students. After rapport has been initiated, these instructors place more emphasis on attentive and courteous behaviors, while continuing to engage in connecting behaviors. Furthermore, these instructors identified personalized instruction and tactful responses to delicate situations as essential for maintaining a strong sense of rapport across the semester. Findings from the present study provide college instructors with a framework for initiating and maintaining rapport with students in their classrooms.

The present study investigated how course policies and enforcement strategies designed to curb classroom digital distraction affect undergraduates' perceptions of student-instructor rapport. Data gathered from online surveys completed by undergraduates at four United States universities revealed that student perceptions of rapport can be influenced by digital distraction prevention. Participants endorsed course technology policies that are developed in collaboration between students and instructors and that are targeted at curbing the use of digital devices for social, rather than educational, purposes. Findings indicate that such policies can improve student buy-in and improve student perceptions of rapport. Although participants identified confrontational enforcement strategies (e.g., calling students out, grade reductions, phone confiscation) as most effective for reducing the amount of digital distraction during class when policies are violated, these strategies were also identified as being most harmful to their perceptions of rapport with instructors. Despite regularly using devices for off-task purposes during class, most participants are not worried about getting caught because they do not believe their instructors are particularly concerned about the amount of ongoing digital distraction in the classroom. Recommendations for addressing student digital distraction while protecting the quality of student-instructor rapport are provided through the lens of self-determination theory.

This study updates and extends prior work on institutional and individual productivity in educational psychology journals ("Cognition and Instruction," "Contemporary Educational Psychology," "Educational Psychologist," "Educational Psychology Review," "Journal of Educational Psychology") from 2015 to 2021. As in previous studies, the University of Maryland, College Park, was the top-producing institution. Several universities (e.g., University of Tübingen) emerged as highly productive compared to previous time periods. Using two approaches to measure individual productivity, we found that Richard Mayer, Ulrich Trautwein, Fred Paas, Patricia Alexander, and Logan Fiorella claimed the top spots. We also identified productive early career scholars and, for some, recognized connections to productive doctoral advisors. Overall, compared to prior years, authors of educational psychology journal articles were increasingly working from non-US institutions and in larger teams (higher mean number of authors per article). A discussion of these trends and future directions for research are included.

Two studies investigated change in computer science (CS) students' implicit intelligence beliefs. Across both studies, we found that the strength of incremental and entity beliefs changed across time. In Study 1, we found that incremental beliefs decreased and entity beliefs increased across the semester. Change in implicit intelligence beliefs was similar for students taking introductory and upper-division courses. In Study 2, growth curve analysis revealed a small linear change in incremental beliefs across time but no change in entity beliefs--these trends were similar for students enrolled in introductory and upper-division CS courses. Across both studies, change in implicit intelligence beliefs was not associated with academic achievement in CS. Findings provide preliminary evidence that shifts in implicit intelligence beliefs occur as students progress through the CS curriculum. Finally, findings support that mindset interventions may be more effective if delivered at the beginning of the semester before shifts in beliefs occur.

The purpose of this study was to determine how graphic organizer completeness (complete, partial, or no organizer) and note-taking medium (longhand or computer) affect note-taking quantity and quality and affect computer-based learning. College students were presented with a computer-based PowerPoint lesson accompanied by complete, partial, or no graphic organizers. Throughout the lesson, students recorded notes using either longhand or computer mediums. Students were tested immediately following the lesson and again two days later following a review period during which graphic organizers and notes were studied. Finally, students completed a survey. Results revealed that organizer completeness affected achievement. Those given complete organizers generally achieved more than those with partial or no organizers across fact-, relationship-, concept-, and skill-based test items. Note-taking medium did not affect achievement differentially, but there were important note-taking findings. Longhand note takers recorded more lesson ideas in notes and had fewer verbatim strings in notes (reflective of more generative processing) compared to computer note takers. Moreover, longhand note takers reported more positive attitudes about their note-taking medium than did computer note takers. Results suggested that complete organizers aid germane load more than partial organizers and that longhand note taking results in deeper processing than does computer note taking. Therefore, instructors should provide complete organizers to promote student learning and should encourage students to take longhand notes when they learn in a computer-based learning environment.

We examined college instructors' perceptions of student use of mobile technology for off-task purposes during class. Previous research demonstrated that digital distraction hinders student learning, yet little is known about instructor views and reactions to this behavior. Phenomenological interviews with 11 college instructors revealed that student digital distraction has a profound influence on their pedagogical decision-making, relationships with students, and professional satisfaction. These instructors regularly encounter student digital distraction during class and have well-defined views on the deleterious influence digital distraction has on the integrity of the classroom learning environment. However, instructors were divided in their perceived responsibility to curb this behavior. Most rely on proactive prevention strategies rather than reactive strategies out of concern for negatively impacting student-instructor rapport. Moreover, these instructors experience frustration stemming from student digital distraction. Findings indicate that student digital distraction influences pedagogical decision-making and threatens the quality of student-instructor rapport.

Contribution: This article presents a synthesis of the findings and implications from the IC2Think program of research in undergraduate computer science (CS) courses examining student motivation and self-regulated learning (SRL). These studies illuminate both the difficulty and potential for motivating CS students, as well as the uniqueness of CS as a context for studying undergraduate motivation. Background: Computing disciplines are increasingly important in preparing the future workforce. It is imperative that CS educators understand how to motivate students and enhance student outcomes. Synthesizing findings across multiple studies allows for the emergence of new insights into student motivation and SRL. Research Questions: Which aspects of students' motivation and SRL are predictive of achievement and retention in CS and how can findings inform CS education? Methodology: The primary methodology is a comprehensive review of seven years of research on undergraduate CS education. Studies use a variety of analysis techniques, examine a range of constructs, and include multiple introductory and advanced CS courses. Studies of relationships between variables and change over time were conducted. Findings: The present synthesis of studies on motivation and SRL highlights the complex, counter-intuitive, and positive aspects of student motivation in CS.

Previous studies have investigated the characteristics, influencing factors, and working strategies of highly successful educational psychologists. These studies, however, have focused mainly on male scholars. Consequently, little is known about how successful female educational psychologists go about their work and are so productive. In the present study, we addressed this gap by interviewing five leading female educational psychologists (Patricia Alexander, Carol Dweck, Jacquelynne Eccles, Mareike Kunter, and Tamara van Gog) about factors that have aided their success and about their gender-related experiences. The five female scholars revealed their trademark characteristics, the important people and places that influenced their careers, and their time- and research-management strategies. They also provided unique insights about their experiences and perspectives as women in the field of educational psychology. Findings offer guidance for budding scholars, particularly women.

Background: Many instructors transitioned their courses from face‐to‐face environments to computer‐mediated learning environments (CMLEs) following the onset of the coronavirus disease 2019 (COVID‐19) pandemic. However, little was known about how teleconferencing platforms and their corresponding functions affect student learning when the COVID‐19 pandemic began. Objectives: The aim of this study was to provide more clarity on the conditions through which online teleconferencing platforms influence student achievement. More specifically, this study investigated how displaying lecture‐relevant and lecture‐irrelevant messages in a chat box during a video lecture delivered via the Zoom teleconferencing platform affected student learning and note taking. Methods: Participants viewed the video lecture either with (relevant or irrelevant) or without messages appearing in the chat box of the Zoom window. Participants completed a learning test immediately following the lecture. Results and Conclusions: No difference regarding student achievement was observed between the three groups. However, results revealed that students in the relevant‐lecture messages group reported a higher extraneous cognitive load than the other groups even if they reported positive attitudes about the messages appearing on the chat box. Students in the lecture‐relevant group also recorded more notes during the lecture compared to the two other groups, but this result did not reach significance. This study extends previous research that investigated how messaging influences learning in classroom settings. Findings suggest that allowing relevant discussions is not the best strategy to promote learning in CMLEs as this information seems to compete with the other relevant information being presented during the ongoing lecture. Lay Description: What is already known about this topic: In video lectures, the chat box has been identified as the function most often used to support students' learning.Responding to lecture‐relevant messages can enhance students' learning.However, it remains unknown how simply reading, but not responding to, lecture‐relevant and lecture‐irrelevant messages can affect learning and note taking. What this paper adds: In previous studies, researchers examined how messaging affects learning in a classroom setting, but not within a computer‐mediated lecture environment.The present study extends previous research that investigated how messaging influences learning in classroom settings.This study provides more clarity on the conditions through which online teleconferencing platforms affect student learning and note taking.Findings suggest that allowing relevant discussions is not the best strategy to promote learning in CMLEs as this information seems to compete with the other relevant information being presented during the ongoing lecture. Implications for practitioners: The features of video lectures are critical factors, as they influence students' learning and should therefore be taken into account when designing educational materials.Instructors should not allow students to engage in lecture‐relevant and irrelevant messaging and discussion during video lectures as it competes with the other relevant information being presented. [ABSTRACT FROM AUTHOR]

Laptop computers allow students to type lecture notes instead of relying on the traditional longhand (i.e. paper-pencil) method. The present research compared laptop and longhand note-taking methods by investigating how the quality (i.e. complete versus incomplete idea units) and quantity (i.e. total words and total idea units) of typed and handwritten notes differed when students did or did not reply to text messages during a simulated lecture. Accounting for the presence of text messaging while participants took notes situated the present study within the reality facing many students in today's digital age. Findings indicated that a considerable proportion of the idea units captured in participants' notes were incomplete, regardless of note-taking method or exposure to distraction during the simulated lecture. However, only the total number of complete idea units stored in student notes meaningfully predicted lecture learning. Furthermore, the presence of digital distraction was particularly disruptive to the quality and quantity of laptop users' lecture notes relative to longhand note takers. Finally, digital distraction emerged as a more meaningful predictor of lecture learning than note-taking method. Recommendations for improving the quality of student lecture notes are discussed and avenues for future research into note-taking completeness and the interplay between digital distraction and note-taking method are proposed.

There has been a shift in college classrooms from students recording lecture notes using a longhand pencil-paper medium to using laptops. The present study investigated whether note-taking medium (laptop, longhand) influenced note taking and achievement when notes were recorded but not reviewed (note taking's process function) and when notes were recorded and reviewed (note taking's product function). One unique aspect of the study was determining how laptop and longhand note taking influence the recording of lecture images in notes and image-related achievement. Note-taking results showed that laptop note takers recorded more notes (idea units and words) and more verbatim lecture strings than did longhand note takers who, in turn, recorded more visual notes (signals and images) than did laptop note takers. Achievement results showed that when taking laptop notes, the process function of note taking was more beneficial than the product function of note taking (i.e., better image-related learning and similar text-related learning). When taking longhand notes, the product function of note taking was more beneficial than the process function of note taking (i.e., better text-related learning and similar image-related learning). Achievement findings suggest that the optimal note-taking medium depends on the nature of the lecture and whether notes are reviewed.

Contribution: This paper provides evidence that computational creativity exercises (CCEs) can increase engineering students' learning in introductory computer science (CS1) courses. Its main contribution is its more rigorous treatment/control group research design that allows testing for causal influences of CCEs on student learning and performance. Background: Computer science (CS) courses are critical foundational courses for engineering students. CCEs that merge computational and creative thinking have been shown to increase achievement and learning of engineering and nonengineering students in CS1 courses, but previous research has used quasi- and non-experimental designs. Intended Outcomes: CCEs are intended to improve students' learning of CS1 content and problem-solving ability by fostering computational creativity. Application Design: CCEs can improve student learning and can be used to supplement other evidence-based instructional practices. Findings: Propensity score matching was used to create equivalent treatment and control groups; results show that students in the CCE implementation section had higher scores on a CS knowledge test than students in the control section, but not higher self-efficacy for their CS knowledge. Focus group and open-ended survey questions indicated that students had mixed reactions to the CCEs, with about half the students seeing them as improving their learning, understanding, and ability to apply CS in their engineering field. Responses also reinforced the importance of fully incorporating CCEs in courses and aligning them with course topics.

Today's traditional-aged college students are avid users of mobile technology. Commonly referred to as the Net Generation, today's college students spend several hours each day using their smart phones, iPads, and laptops. Although some scholars initially opined that the Net Generation would grow into technologically savvy digital natives who would leverage their unprecedented access to technology for professional and academic betterment, contemporary research has rejected the digital native myth. Instead, college students frequently use mobile technology for off-task purposes while attending classroom lectures or doing schoolwork outside of class--a phenomenon known as cyber-slacking. This article provides college educators with an overview of the frequency and consequences of cyber-slacking inside and outside the classroom and seven instructional implications for curbing cyber-slacking. Proposed strategies for curbing cyber-slacking include rejecting the digital native myth, adopting and enforcing technology policies, consciousness raising, motivating students to relinquish their devices, incorporating active learning in the classroom, using mobile technology as a teaching tool, teaching students to be self-regulated learners, and motivating students to delay gratification from their mobile devices.

Previous research (Kiewra & Creswell, "Educational Psychology Review" 12(1):135-161, 2000; Patterson-Hazley & Kiewra, "Educational Psychology Review" 25(1):19-45, 2013) has investigated the characteristics and work habits of highly productive educational psychologists. These investigations have focused exclusively on American scholars who were trained and employed at various universities and have ignored international scholars and scholars with a shared academic lineage. The present study sought to fill these gaps by investigating, through qualitative methods, how a cohort of four German educational psychologists (Heinz Mandl, Alexander Renkl, Hans Gruber, and Frank Fischer) with a shared academic background became productive scholars. Interview responses suggested that the German scholars' shared experiences during the early years of their careers shaped their career paths and productivity. Additionally, interviews with each scholar revealed several commonalities (i.e., long and focused research career, trademark characteristic, scholarly influencers, effective time-management practices, and research-management strategies) between this contingent of productive German scholars and their productive American counterparts. Finally, the present study also identified several differences (e.g., educational training, funding opportunities, sabbaticals, administrative responsibilities, and research traditions) between the American and German research environments that influence productivity. Practical implications from this investigation include advice for emerging scholars.

Computational thinking and creative thinking are valuable tools both within and outside of computer science (CS). The goal of the project discussed here is to increase students' achievement in CS courses through a series of computational creativity exercises (CCEs). In this paper, the framework of CCEs is described, and the results of two separate studies on their impact on student achievement are presented. Students in introductory CS courses completed CCEs as part of those courses. Students in Study 1 came from a variety of programs, and students in Study 2 were engineering majors. A profiling approach was used to test whether the impact of the CCEs could be accounted for by differences in students' motivated and self-regulated engagement. Overall, CCEs had positive impacts on students' grades and knowledge test scores, and although there were differences in achievement across the profiles, the impact of the CCEs was generally consistent across profiles. The CCEs appear to be a promising way to increase student achievement in introductory CS courses. Implications and directions for future research are discussed.