Self-regulation and comprehension in shared reading: The moderating effects of verbal interactions and E-book discussion prompts.

The study examined how children's self-regulation skills measured by the strengths and weaknesses of ADHD symptoms and normal behavior rating are associated with story comprehension and how verbal engagement and e-book discussion prompts moderate this relation. Children aged 3-7 (N = 111, 50% female, Chinese as first language) read an interactive Chinese-English bilingual story e-book with or without discussion prompts twice with their parents (2020-2021). Results demonstrated that the lower children's self-regulation skills, the more they struggled with story comprehension. Critically, our data suggest that embedding e-book discussion prompts and more verbalization in English can mitigate this negative association for children with inattention/hyperactivity. These findings have critical implications for future e-book design, interventions, and home reading practice for children with inattention/hyperactivity and those at risk for attention deficit/hyperactivity disorder.

Dialogue with a conversational agent promotes children's story comprehension via enhancing engagement.

Dialogic reading, when children are read a storybook and engaged in relevant conversation, is a powerful strategy for fostering language development. With the development of artificial intelligence, conversational agents can engage children in elements of dialogic reading. This study examined whether a conversational agent can improve children's story comprehension and engagement, as compared to an adult reading partner. Using a 2 (dialogic reading or non-dialogic reading) × 2 (agent or human) factorial design, a total of 117 three- to six-year-olds (50% Female, 37% White, 31% Asian, 21% multi-ethnic) were randomly assigned into one of the four conditions. Results revealed that a conversational agent can replicate the benefits of dialogic reading with a human partner by enhancing children's narrative-relevant vocalizations, reducing irrelevant vocalizations, and improving story comprehension.

ChatGPT in education: global reactions to AI innovations.

The release and rapid diffusion of ChatGPT have caught the attention of educators worldwide. Some educators are enthusiastic about its potential to support learning. Others are concerned about how it might circumvent learning opportunities or contribute to misinformation. To better understand reactions about ChatGPT concerning education, we analyzed Twitter data (16,830,997 tweets from 5,541,457 users). Based on topic modeling and sentiment analysis, we provide an overview of global perceptions and reactions to ChatGPT regarding education. ChatGPT triggered a massive response on Twitter, with education being the most tweeted content topic. Topics ranged from specific (e.g., cheating) to broad (e.g., opportunities), which were discussed with mixed sentiment. We traced that authority decisions may influence public opinions. We discussed that the average reaction on Twitter (e.g., using ChatGPT to cheat in exams) differs from discussions in which education and teaching-learning researchers are likely to be more interested (e.g., ChatGPT as an intelligent learning partner). This study provides insights into people's reactions when new groundbreaking technology is released and implications for scientific and policy communication in rapidly changing circumstances.

Salient syllabi: Examining design characteristics of science online courses in higher education.

The importance of online learning in higher education settings is growing, not only in wake of the Covid-19 pandemic. Therefore, metrics to evaluate and increase the quality of online instruction are crucial for improving student learning. Whereas instructional quality is traditionally evaluated with course observations or student evaluations, course syllabi offer a novel approach to predict course quality even prior to the first day of classes. This study develops an online course design characteristics rubric for science course syllabi. Utilizing content analysis, inductive coding, and deductive coding, we established four broad high-quality course design categories: course organization, course objectives and alignment, interpersonal interactions, and technology. Additionally, this study exploratively applied the rubric on 11 online course syllabi (N = 635 students) and found that these design categories explained variation in student performance.

Project-based engineering learning in college: associations with self-efficacy, effort regulation, interest, skills, and performance.

This quantitative study examined student participation in an introductory project-based engineering course offered in fully face-to-face and hybrid course modes (N = 160). This course attempted to counteract trends of decreased student motivation and high attrition rates among engineering majors. Mixed-design analysis of variance examined differences in motivational constructs including student self-efficacy, effort regulation, and interest in engineering, as well as engineering skills throughout the course and across instructional modes. None of the motivational constructs were associated with significant decreases throughout the course nor with differences across instructional modes. However, students' engineering skills increased throughout the course with no significant differences across course modalities. Furthermore, interest in engineering and effort regulation were positively associated with course performance. The instructional modality was not significantly associated with course performance. Overall, this study provides an example of a project-based introductory engineering course which may help maintain student motivation and foster student success in engineering.

Data on online and face-to-face course enrollments in a public research university during summer terms.

This data article includes information on institutional data at a large public research university in Southern California. In particular, data on undergraduate student enrollments in online and face-to-face courses during summer terms from 2014 to 2017 cumulating in 72,441 course enrollments from 23,610 undergraduate students in 433 courses is provided. This data includes additional information on the statistical models examining factors influencing student enrollment by course modality and the associations of course modality with course grades. This includes descriptive data and data derived from multi-level logistic regression analyses and multi-way fixed effects linear regression analyses. This data article is associated with the article "Effects of course modality in summer session: Enrollment patterns and student performance in face-to-face and online classes" [1].

Cross-national comparison of gender differences in the enrollment in and completion of science, technology, engineering, and mathematics Massive Open Online Courses.

Massive Open Online Courses (MOOCs) have the potential to democratize education by providing learners with access to high-quality free online courses. However, evidence supporting this democratization across countries is limited. We explored the question of MOOC democratization by conducting cross-national comparisons of gender differences in the enrollment in and completion of science, technology, engineering, and mathematics (STEM) MOOCs. We found that while females were less likely than males to enroll in STEM MOOCs, they were equally likely to complete them. Further, a higher probability to enroll in STEM MOOCs and smaller gender gaps in STEM MOOC enrollment and completion were found in less gender-equal and less economically developed countries.

How do students study in STEM courses? Findings from a light-touch intervention and its relevance for underrepresented students.

With the nationwide emphasis on improving outcomes for STEM undergraduates, it is important that we not only focus on modifying classroom instruction, but also provide students with the tools to maximize their independent learning time. There has been considerable work in laboratory settings examining two beneficial practices for enhancing learning: spacing and self-testing. In the current study, we examine biology students' study practices, particularly in the context of these two behaviors. We specifically investigate whether a light-touch study skills intervention focused on encouraging spacing and self-testing practices impacted their utilization. Based on pre- and post-course surveys, we found that students report utilizing both beneficial and ineffective study practices and confirm that usage of spacing and self-testing correlates with a higher course grade. We also found that students in the section of the course which received the study skills intervention were more likely to report continued use or adoption of spacing and self-testing compared to students in control sections without the intervention. Surprisingly, we found that underrepresented minorities (URMs) under-utilize self-testing, and that our intervention helped to partially ameliorate this gap. Additionally, we found that URMs who reported self-testing earned similar course grades compared to non-URMs who also self-tested, but that there was a much larger drop in performance for URMs who did not self-test relative to non-URMs who also did not self-test. Overall, we would encourage instructors to dedicate class time towards discussing the merits of beneficial study practices, especially for students that have historically underperformed in STEM disciplines.

Tablet-Based eBooks for Young Children: What Does the Research Say?

OBJECTIVE: Young children's use of electronic books (eBooks) is increasing as handheld touch screen devices, such as tablets, become increasingly available. Although older children's reading on tablets has been more broadly investigated, less is known about the impacts of digital reading for infant, toddlers, and preschoolers. This review compares the educational affordances of reading on tablets versus print books for young children's learning. METHOD: A qualitative synthesis of research on tablet-based eReading and young children's learning from screens was conducted. RESULTS: When eBooks are designed well, preschool-aged children learn equally well and sometimes more than from print books. However, enhanced eBooks with sounds, animations, and games can distract children and reduce learning. When book-sharing with an adult, conversations during eBook reading are often about the platform while print book conversations are more often about the book content. For young children (0-2 yr), there is a paucity of research, but broader studies on learning from screens suggest limited educational benefits of tablet use for this age group. DISCUSSION: The authors recommend that (1) the selection of eBooks (especially enhanced eBooks) be thoughtful as games or animations that are not related to the story content can be distracting for young children, (2) adults share in the reading experience as discussions of the story, text, and characters have been found to enhance comprehension, language development, and print awareness, and (3) tablet eBook use be restricted for infants and toddlers, as they benefit more from face-to-face interaction with caregivers than from interactive screens alone.

Data on NAEP 2011 writing assessment prior computer use.

This data article contains information based on the 2011 National Assessment of Educational Progress in Writing Restricted-Use Data, available from the National Center for Education Statistics (NCES Pub. No. 2014476). https://nces.ed.gov/nationsreportcard/researchcenter/datatools.aspx. The data include the statistical relationships between survey reports of teachers and students regarding prior use of computers and other technology and writing achievement levels on the 2011 computer-based NAEP writing assessment. This data article accompanies "The Effects of Prior Computer Use on Computer-Based Writing: The 2011 NAEP Writing Assessment" [1].

Designing an iPad App to Monitor and Improve Classroom Behavior for Children with ADHD: iSelfControl Feasibility and Pilot Studies.

Children with Attention Deficit/Hyperactivity Disorder (ADHD) receive approximately 80% of instruction in the general education classroom, where individualized behavioral management strategies may be difficult for teachers to consistently deliver. Mobile device apps provide promising platforms to manage behavior. This pilot study evaluated the utility of a web-based application (iSelfControl) designed to support classroom behavior management. iSelfControl prompted students every 'Center' (30-minutes) to self-evaluate using a universal token-economy classroom management system focused on compliance, productivity, and positive relationships. Simultaneously, the teacher evaluated each student on a separate iPad. Using Multi Level Modeling, we examined 13 days of data gathered from implementation with 5th grade students (N = 12) at a school for children with ADHD and related executive function difficulties. First, an unconditional growth model evaluated the overall amount of change in aggregated scores over time as well as the degree of systematic variation in scores within and across teacher-student dyads. Second, separate intercepts and slopes were estimated for teacher and student to estimate degree of congruency between trajectories. Finally, differences between teacher and student scores were tested at each time-point in separate models to examine unique 'Center' effects. 51% of the total variance in scores was attributed to differences between dyads. Trajectories of student and teacher scores remained relatively stable across seven time-points each day and did not statistically differ from each other. On any given day, students tended to evaluate their behaviors more positively (entered higher scores for themselves) compared to corresponding teacher scores. In summary, iSelfControl provides a platform for self and teacher evaluation that is an important adjunct to conventional classroom management strategies. The application captured teacher/student discrepancies and significant variations across the day. Future research with a larger, clinically diagnosed sample in multiple classrooms is needed to assess generalizability to a wider variety of classroom settings.

The grass isn't always greener: perceptions of and performance on open-note exams.

Undergraduate biology education is often viewed as being focused on memorization rather than development of students' critical-thinking abilities. We speculated that open-note testing would be an easily implemented change that would emphasize higher-order thinking. As open-note testing is not commonly used in the biological sciences and the literature on its effects in biology education is sparse, we performed a comprehensive analysis of this intervention on a primary literature-based exam across three large-enrollment laboratory courses. Although students believed open-note testing would impact exam scores, we found no effect on performance, either overall or on questions of nearly all Bloom's levels. Open-note testing also produced no advantage when examined under a variety of parameters, including research experience, grade point average, course grade, prior exposure to primary literature-focused laboratory courses, or gender. Interestingly, we did observe small differences in open- and closed-note exam performance and perception for students who experienced open-note exams for an entire quarter. This implies that student preparation or in-test behavior can be altered by exposure to open-note testing conditions in a single course and that -increased experience may be necessary to truly understand the impact of this intervention.

Practice makes pretty good: assessment of primary literature reading abilities across multiple large-enrollment biology laboratory courses.

Primary literature is essential for scientific communication and is commonly utilized in undergraduate biology education. Despite this, there is often little time spent training our students how to critically analyze a paper. To address this, we introduced a primary literature module in multiple upper-division laboratory courses. In this module, instructors conduct classroom discussions that dissect a paper as researchers do. While previous work has identified classroom interventions that improve primary literature comprehension within a single course, our goal was to determine whether including a scientific paper module in our classes could produce long-term benefits. On the basis of performance in an assessment exam, we found that our module resulted in longitudinal gains, including increased comprehension and critical-thinking abilities in subsequent lab courses. These learning gains were specific to courses utilizing our module, as no longitudinal gains were seen in students who had taken other upper-division labs that lacked extensive primary literature discussion. In addition, we assessed whether performance on our assessment correlated with a variety of factors, including grade point average, course performance, research background, and self-reported confidence in understanding of the article. Furthermore, all of the study conclusions are independent of biology disciplines, as we observe similar trends within each course.