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Background: Prior work has shown that middle school students struggle with algebra and that game-based educational technologies, such as DragonBox and From Here to There!, are effective at improving students' algebraic performance. However, it remains unclear which aspects of algebraic knowledge shift as a result of playing these games and what game design features support algebraic learning. Objective: Using the data from a randomized controlled trial conducted in the 2020-2021 academic year, we (a) examined students' relative performance on assessment items measuring conceptual knowledge, procedural knowledge and procedural flexibility in algebraic equation solving, and (b) identified changes in these aspects of algebraic knowledge after playing DragonBox or From Here to There!. Methods: Eight hundred eighty-seven seventh-graders were randomly assigned to playing DragonBox or From Here to There! for nine 30-min sessions throughout the school year. Students also completed a pretest, midtest and posttest measuring their algebraic knowledge. Results and Conclusion: First, prior to the intervention, students scored the highest on procedural knowledge and lowest on conceptual knowledge. Second, students significantly improved and maintained learning gains on conceptual knowledge throughout the intervention. Their performance on procedural knowledge and procedural flexibility items increased at midtest but decreased at posttest. Third, the pattern of results was consistent for students in the DragonBox and From Here to There! conditions, suggesting that both games may support students' conceptual understanding of algebra. The findings have implications for research and practice on supporting algebraic learning through game-based technologies during and beyond educational disruptions. [For the corresponding grantee submission, see ED628258.]

Prior research has shown that game-based learning tools, such as DragonBox 12+, support algebraic understanding and that students' in-game progress positively predicts their later performance. Using data from 253 seventh-graders (12-13 years old) who played DragonBox as a part of technology intervention, we examined (a) the relations between students' progress within DragonBox and their algebraic knowledge and general mathematics achievement, (b) the moderating effects of students' prior performance on these relations and (c) the potential factors associated with students' in-game progress. Among students with higher prior algebraic knowledge, higher in-game progress was related to higher algebraic knowledge after the intervention. Higher in-game progress was also associated with higher end-of-year mathematics achievement, and this association was stronger among students with lower prior mathematics achievement. Students' demographic characteristics, prior knowledge and prior achievement did not significantly predict in-game progress beyond the number of intervention sessions students completed. These findings advance research on how, for whom and in what contexts game-based interventions, such as DragonBox, support mathematical learning and have implications for practice using game-based technologies to supplement instruction. [For the corresponding grantee submission, see ED626412.]

Cognitive, numeracy, and motivational factors have been implicated in math achievement. However, few studies have investigated these factors simultaneously and in middle childhood, limiting our understanding of the relative contributions of these factors during an important developmental period. The current study investigated how one numeracy, four cognitive, and three motivational factors predicted math performance in 525 third, 771 fourth, and 465 fifth grade students, and whether these relations changed by grade and the type of math measured. Participants completed the California Standards Test (CST; Educational Testing Service, 2014) in Spring 2012 and Spring 2013 to assess math performance, and a battery of numeracy, cognitive, and motivational measures in Spring 2013. Separate multilevel regressions predicting 2013 CST performance were conducted for each grade, and z scores were used to compare the coefficients between grades. Results showed that updating and math expectancy were related to broad-level math performance for all grades. Further, numeracy and shifting were most predictive of math performance for younger grades, whereas math expectancy was most predictive for older grades across a range of math content. The results suggest that numeracy, cognitive, and motivational factors all relate to math performance when these three types of factors are considered, with numeracy, updating, shifting, and math expectancy showing the most reliable relations depending on grade. The relations between factors and math types may also have implications for interventions aiming to improve specific types of math.

Self-beliefs are important determinants of student choice and success (Wigfield & Eccles, 2000) and are informed by student educational experiences, such as prior success with a task (Bandura, 1986). The potential for Computer-Based Interventions as self-belief-supporting learning environments is examined in this study, focusing on the mathematics software, Spatial Temporal (ST) Math. ST Math includes elements theorized to support student self-beliefs, including informative feedback and a self-pacing structure. Using a randomized control trial, we find that students who play ST Math have higher mathematics self-beliefs than their control counterparts, and that ST Math operates through self-beliefs to positively influence achievement. ST Math's impact on student self-beliefs is strongest for those students who had lower mathematics achievement scores.

Background: Large achievement and motivation gaps exist in science between students from higher and lower socioeconomic status (SES) backgrounds. Middle and high school are an important time to address these disparities, as science motivation typically declines for all students at this time, leading to particularly low science interest and achievement for lower SES students on average when the gaps are left unaddressed. Students' control over their free time also increases at this time, providing opportunities for optional science experiences that may improve science attitudes and skills to combat these achievement and motivation gaps. Using a longitudinal dataset of 2252 middle and high school students from two regions in the USA, we investigate (1) disparities between higher and lower SES students in participation in optional summer science experiences and post-summer science attitudes and skills; (2) whether the child and family characteristics that predict participation in home-related, nature-related, and STEM camp experiences in the summer differ for higher and lower SES students; and (3) how participation in these types of optional summer science experiences contribute to post-summer science attitudes and skills when controlling for self-selection biases. Results: Higher SES students reported greater participation in optional summer science experiences and higher post-summer science attitudes and sensemaking skills. Fascination for science was more important for participation in home-related and nature-related experiences for higher SES participants, whereas science competency beliefs were more important for lower SES participants. For STEM camp experiences, higher SES participants with higher competency beliefs and lower SES participants with lower scientific sensemaking skills were more likely to participate. After controlling for self-selection biases that may influence participation in these experiences, we found that home-related and nature-related experiences had a positive impact on students' attitudes toward science. Conclusions: Our findings suggest two pathways for increasing participation in optional summer science experiences for higher SES and lower SES students. Specifically, it may be helpful to support interest in science for higher SES students and competency beliefs for lower SES students. Greater participation in home-related and nature-related summer science experiences can also increase science attitudes during middle and high school.

The purpose of this study is to experimentally manipulate discourse processes hypothesized to impact the emotions students experience when interacting with handheld augmented reality devices in informal learning settings. Research conducted in the field is often limited by practical constraints, requiring heavy investments in time and resources to collect data from large samples of students. To demonstrate the feasibility of our proposed method, a guided walking tour with 60 students using a location-based augmented reality app was simulated in the context of a controlled laboratory setting. The difference between groups of students clustered into distinct profiles of positive and negative self-reported emotions was attributed to patterns in the mined dialog between students and tour guide. Furthermore, student engagement predicted the ability to recall topics covered in the tour. We discuss the implications and directions for future research in tour simulations conducted in a laboratory setting as a means to evaluate the role of mobile technologies in enhancing learning and desirable emotions.

Science learning is most often examined within formal education contexts, even though students spend more of their lives outside of the classroom. Students may interact with scientific phenomena during these out-of-school experiences, providing additional opportunities for learning to take place. Prior studies have found that optional science experiences have positive effects on science knowledge and attitudes. However, these studies do not always account for initial differences between students who are able to participate in many optional experiences and those who cannot. Moreover, many studies focus on high-quality science programs, which may not be representative of the average out-of-school experience. Using a longitudinal dataset of 3,700 6th and 8th grade students in urban and suburban schools from two regions in the United States, the current study investigates the effects of typically occurring optional science experiences during the school year on the development of science knowledge and attitudes. Using propensity score matching, we matched participating and nonparticipating students for characteristics that drive self-selection into these experiences, then analyzed separately for effects of school-related versus home-related science learning experiences. Stable patterns across analytic models reveal growth in science attitudes with both school- and home-related science experiences, but a greater relative decline in science knowledge with school-related science experiences. Thus, typically occurring optional science experiences can influence students' attitudes and knowledge, but the effects can vary by the type of experience that students attend.

Mathematical fluency is important for academic and mathematical success. Fluency training programs have typically focused on fostering retrieval, which leads to math performance that does not reliably transfer to non-trained problems. More recent studies have focused on training number understanding and representational precision, but few have directly investigated whether training improvements also transfer to more advanced mathematics. In one previous study, university undergraduates who extensively trained on mental computation demonstrated improvements on a complex mathematics test. These improvements were also associated with changes in number representation precision. Because such far transfer is both rare and educationally important, we investigated whether these transfer and precision effects would occur when using a more diverse population and after removing several features of the mental computation training that are difficult to implement in classrooms. Trained participants showed significant, robust improvements, suggesting that mental computation training can reliably lead to mathematical transfer and improvements in number representation precision.

Computer science proficiency continues to grow in importance, while the number of students entering computer science-related fields declines. Many rich programming environments have been created to motivate student interest and expertise in computer science. In the current study, we investigated whether a recently created environment, Robot Virtual Worlds (RVWs), can be used to teach computer science principles within a robotics context by examining its use in high-school classrooms. We also investigated whether the lack of physicality in these environments impacts student learning by comparing classrooms that used either virtual or physical robots for the RVW curriculum. Results suggest that the RVW environment leads to significant gains in computer science knowledge, that virtual robots lead to faster learning, and that physical robots may have some influence on algorithmic thinking. We discuss the implications of physicality in these programming environments for learning computer science.

The authors report an evaluation of the psychometric properties of a Chinese version of the Volunteer Functions Inventory on a sample of university student volunteers. Reliabilities were high for four out of the six scales of the Inventory (Values, Career, Social, and Understanding) in terms of internal consistency. Items in these four scales also yielded a clean structure in an exploratory factor analysis. Making new friends was found to be a motive, which was separate from sustaining friendships and separate from other motives captured by the Inventory. Confirmatory factor analysis supported the superiority of a 6-factor model over other measurement models such as unitary, bipartite, and second-order factor models. Implications for the measurement of motives in volunteerism in general and refinement of the Inventory in particular, are discussed. (Contains 3 tables.)

Background: Psychometric properties of the Chinese version of CBCL, TRF, and YSR were understudied. This study aimed at examining their test-retest reliability and criterion validity. Methods: Three Chinese community and clinic samples were recruited in Hong Kong. The parents, teachers, and youths respectively completed the CBCL, TRF, and YSR. Results: The Chinese CBCL, TRF, and YSR were test-retest reliable and valid. However, there was score/case attenuation at retest. CBCL and TRF appeared to screen externalizing and ADHD problems better, while YSR screened internalizing problems better. Conclusions: Clinicians should be cautious about score/case attenuation at retest while using CBCL, TRF, and YSR to chart patients' progress. They should also recognize their different strengths in screening various disorders.

Describes an holistic approach to planning college programs. Discusses the role of college administration in integrating continuing professional education with mainstream programs and cultivating a market-oriented enterprise culture that responds proactively to environmental change. (SK)

Higher education differs from other service enterprises in its social responsibility and the context for decision making. An integrated marketing strategy based on the identified positioning of the institution plays a crucial role in successful enrollment and long-term institutional development. Marketing can make a significant contribution to institutional strategic planning through its analytical, humanistic, and integrative abilities. (MSE)

A suggested list of categories is presented to be used in the evaluation of adult-oriented computer software. These categories include instructional range of the program, program execution time, whether or not ancillary materials are available for the software, identifying software use, self-pacing programs, performance-oriented programs, and relevant content. (CT)

Describes an inexpensive molecular model which is small enough to manipulate and large enough to be seen by large audiences. Discusses models of atoms and double and triple bonds. (JM)