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Almut K. Zieher; Craig S. Bailey; Christina Cipriano; Tessa McNaboe; Krista Smith; Michael J. Strambler – Grantee Submission, 2024
For social and emotional learning (SEL) to be most effective, students must consistently access social and emotional knowledge and apply SEL skills across time and context. This article presents the Framework for the Pedagogies of SEL, which aims to theoretically articulate how teachers can support effective student SEL. We present an overview of…
Descriptors: Social Emotional Learning, Teaching Methods, Learning Processes, Cultural Influences
Benjamin A. Motz; Öykü Üner; Harmony E. Jankowski; Marcus A. Christie; Kim Burgas; Diego del Blanco Orobitg; Mark A. McDaniel – Grantee Submission, 2023
For researchers seeking to improve education, a common goal is to identify teaching practices that have causal benefits in classroom settings. To test whether an instructional practice exerts a causal influence on an outcome measure, the most straightforward and compelling method is to conduct an experiment. While experimentation is common in…
Descriptors: Learning Analytics, Experiments, Learning Processes, Learning Management Systems
Ethan Prihar; Adam Sales; Neil Heffernan – Grantee Submission, 2023
This work proposes Dynamic Linear Epsilon-Greedy, a novel contextual multi-armed bandit algorithm that can adaptively assign personalized content to users while enabling unbiased statistical analysis. Traditional A/B testing and reinforcement learning approaches have trade-offs between empirical investigation and maximal impact on users. Our…
Descriptors: Trust (Psychology), Learning Management Systems, Learning Processes, Algorithms
Kirk P. Vanacore; Ji-Eun Lee; Alena Egorova; Erin Ottmar – Grantee Submission, 2023
To meet the goal of understanding students' complex learning processes and maximizing their learning outcomes, the field of learning analytics delves into the myriad of data captured as students use computer assisted learning platforms. Although many platforms associated with learning analytics focus on students' performance, performance on…
Descriptors: Learning Analytics, Outcomes of Education, Problem Solving, Learning Processes
Laura K. Allen; Sarah C. Creer; Püren Öncel – Grantee Submission, 2022
As educators turn to technology to supplement classroom instruction, the integration of natural language processing (NLP) into educational technologies is vital for increasing student success. NLP involves the use of computers to analyze and respond to human language, including students' responses to a variety of assignments and tasks. While NLP…
Descriptors: Natural Language Processing, Learning Analytics, Learning Processes, Methods
Aaron Haim; Eamon Worden; Neil T. Heffernan – Grantee Submission, 2024
Since GPT-4's release it has shown novel abilities in a variety of domains. This paper explores the use of LLM-generated explanations as on-demand assistance for problems within the ASSISTments platform. In particular, we are studying whether GPT-generated explanations are better than nothing on problems that have no supports and whether…
Descriptors: Artificial Intelligence, Learning Management Systems, Computer Software, Intelligent Tutoring Systems
Angeline S. Lillard – Grantee Submission, 2023
Most American classrooms employ a teacher-text-centered model of instruction that is misaligned with the developmental science of how children naturally learn. This article reviews that science and the origins of the common instructional model, including three modifications intended to make it work better (grades, age-graded classrooms, and…
Descriptors: Educational Change, Astronomy, Teaching Methods, Learning Processes
Danielle S. McNamara; Tracy Arner; Elizabeth Reilley; Paul Alvarado; Chani Clark; Thomas Fikes; Annie Hale; Betheny Weigele – Grantee Submission, 2022
Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…
Descriptors: Electronic Learning, Educational Technology, Networks, Learning Analytics
Melissa Lee; Chun-Wei Huang; Kelly Collins; Mingyu Feng – Grantee Submission, 2025
Math anxiety has been found to negatively correlate with math achievement, affecting students' choices to take fewer math classes and avoid math educational opportunities. Educational technology tools can ameliorate some of the negative effects of math anxiety. We examined students' math anxiety, effort in an educational technology platform, and…
Descriptors: Correlation, Mathematics Anxiety, Mathematics Achievement, Outcomes of Education
Joseph Wong; Edward Chen; Natalie Au-Yeung; Bella Lerner; Lindsey Richland – Grantee Submission, 2022
Historically, learning for young students has occurred in formal, in-person classroom environments, but the distance learning context has opened a myriad of learning modalities. To this end, we aim to better understand how deploying learning experience design (LXD) approach supports or hinders children's engagement while participating in an…
Descriptors: Learning Processes, Attention Control, Learning Experience, Learner Engagement
Martha W. Alibali; Percival G. Matthews; Jessica Rodrigues; Rui Meng; Nicholas A. Vest; Victoria Jay; David Menendez; Jennifer O. Murray; Andrea Marquardt Donovan; Lauren E. Anthony; Nicole M. McNeil – Grantee Submission, 2024
Research on mathematical cognition, learning, and instruction (MCLI) often takes cognition as its point of departure and considers instruction at a later point in the research cycle. In this paper, we call for psychologists who study MCLI to reflect on the "status quo" of their research practices and to consider making instruction an…
Descriptors: Mathematics Education, Schemata (Cognition), Intervention, Learning Processes
Baroody, Arthur J.; Yilmaz, Nursel; Clements, Douglas H.; Sarama, Julie – Grantee Submission, 2021
Although hypothetical learning trajectories (HLTs) are often viewed as a valuable instructional tool, little research has directly evaluated their value. A basic assumption of HLTs is that ordering instructional activities by developmental difficulty enhances learning. A randomized control trial (RCT) served to evaluate this assumption with a…
Descriptors: Learning Processes, Patternmaking, Effect Size, Intervention
Maria Blanton; Angela Murphy Gardiner; Ana Stephens; Rena Stroud; Eric Knuth; Despina Stylianou – Grantee Submission, 2023
We describe here lessons learned in designing an early algebra curriculum to measure early algebra's impact on children's algebra readiness for middle grades. The curriculum was developed to supplement regular mathematics instruction in Grades K-5. Lessons learned centered around the importance of several key factors, including using conceptual…
Descriptors: Mathematics Curriculum, Curriculum Design, Mathematics Instruction, Kindergarten
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Haim, Aaron; Heffernan, Neil T. – Grantee Submission, 2022
Studies have shown that on-demand assistance, additional instruction given on a problem per student request, improves student learning in online learning environments. Students may have opinions on whether an assistance was effective at improving student learning. As students are the driving force behind the effectiveness of assistance, there…
Descriptors: Learning Management Systems, Student Attitudes, Learning Processes, Online Courses