NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Teachers1
Location
Chile1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Leonora Kaldaras; Kevin Haudek; Joseph Krajcik – International Journal of STEM Education, 2024
We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students' ability to apply content and practices to explain phenomena, which reflects deeper science…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, STEM Education, Learning Trajectories
Peer reviewed Peer reviewed
Direct linkDirect link
Dominic Lohr; Hieke Keuning; Natalie Kiesler – Journal of Computer Assisted Learning, 2025
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…
Descriptors: College Students, Programming, Artificial Intelligence, Feedback (Response)
Peer reviewed Peer reviewed
Direct linkDirect link
Denis Dumas; James C. Kaufman – Educational Psychology Review, 2024
Who should evaluate the originality and task-appropriateness of a given idea has been a perennial debate among psychologists of creativity. Here, we argue that the most relevant evaluator of a given idea depends crucially on the level of expertise of the person who generated it. To build this argument, we draw on two complimentary theoretical…
Descriptors: Decision Making, Creativity, Task Analysis, Psychologists
Peer reviewed Peer reviewed
Direct linkDirect link
John Sabatini; Arthur C. Graesser; John Hollander; Tenaha O'Reilly – British Journal of Educational Technology, 2023
We argue in this paper that there is currently no adequate theoretical framework or model that spans the twelve odd year trajectory from non-reader to proficient reader, nor addresses fine-grain skill acquisition, mastery and integration. The target construct itself, reading proficiency, as often operationalized as an endpoint of formal secondary…
Descriptors: Literacy Education, Scaffolding (Teaching Technique), Decision Making, Artificial Intelligence
Byung-Doh Oh – ProQuest LLC, 2024
Decades of psycholinguistics research have shown that human sentence processing is highly incremental and predictive. This has provided evidence for expectation-based theories of sentence processing, which posit that the processing difficulty of linguistic material is modulated by its probability in context. However, these theories do not make…
Descriptors: Language Processing, Computational Linguistics, Artificial Intelligence, Computer Software
Tracey Tokuhama-Espinosa; Jovi R. S. Nazareno; Christopher Rappleye – Teachers College Press, 2024
Writing is the highest form of thinking, as evidenced by neuroimaging that shows how more neural networks are activated simultaneously during writing than during any other cognitive activity. This book will help teachers understand how the brain learns to write by unveiling 15 stages of thinking that underpin the writing process, along with…
Descriptors: Neurosciences, Writing Assignments, Writing Processes, Feedback (Response)
Peer reviewed Peer reviewed
Direct linkDirect link
Rodríguez, Patricio; Villanueva, Alexis; Dombrovskaia, Lioubov; Valenzuela, Juan Pablo – Education and Information Technologies, 2023
School dropout is a structural problem which permanently penalizes students and society in areas such as low qualification jobs, higher poverty levels and lower life expectancy, lower pensions, and higher economic burden for governments. Given these high consequences and the surge of the problem due to COVID-19 pandemic, in this paper we propose a…
Descriptors: Foreign Countries, Schools, Dropout Prevention, Methods
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Rho, Jihyun; Rau, Martina A.; Van Veen, Barry D. – International Educational Data Mining Society, 2022
Instruction in many STEM domains heavily relies on visual representations, such as graphs, figures, and diagrams. However, students who lack representational competencies do not benefit from these visual representations. Therefore, students must learn not only content knowledge but also representational competencies. Further, as learning…
Descriptors: Learning Processes, Models, Introductory Courses, Engineering Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Christopher J. Harris; Eric Wiebe; Shuchi Grover; James W. Pellegrino – Community for Advancing Discovery Research in Education (CADRE), 2023
Major developments over the past two decades in STEM education and classroom assessment provide a compelling argument for shifting the focus of assessment toward the classroom where its most powerful benefits can be realized. The increased emphasis on diversity, equity, and inclusion in education puts increased scrutiny on assessment practices and…
Descriptors: Student Evaluation, STEM Education, Educational Trends, Equal Education
Peer reviewed Peer reviewed
Direct linkDirect link
John Sabatini; Arthur C. Graesser; John Hollander; Tenaha O'Reilly – Grantee Submission, 2023
We argue in this paper that there is currently no adequate theoretical framework or model that spans the twelve odd year trajectory from non-reader to proficient reader, nor addresses fine-grain skill acquisition, mastery and integration. The target construct itself, reading proficiency, as often operationalized as an endpoint of formal secondary…
Descriptors: Literacy Education, Intelligent Tutoring Systems, Decision Making, Standards