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Joshua Weidlich; Aron Fink; Ioana Jivet; Jane Yau; Tornike Giorgashvili; Hendrik Drachsler; Andreas Frey – Journal of Computer Assisted Learning, 2024
Background: Developments in educational technology and learning analytics make it possible to automatically formulate and deploy personalized formative feedback to learners at scale. However, to be effective, the motivational and emotional impacts of such automated and personalized feedback need to be considered. The literature on feedback…
Descriptors: Emotional Response, Student Motivation, Feedback (Response), Automation
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Moriah Ariely; Tanya Nazaretsky; Giora Alexandron – Journal of Research in Science Teaching, 2024
One of the core practices of science is constructing scientific explanations. However, numerous studies have shown that constructing scientific explanations poses significant challenges to students. Proper assessment of scientific explanations is costly and time-consuming, and teachers often do not have a clear definition of the educational goals…
Descriptors: Biology, Automation, Individualized Instruction, Science Instruction
Laura Thomsen Morello – ProQuest LLC, 2024
This dissertation develops and evaluates the validity and reliability of the Skills Self-Efficacy Scale for Adolescents (SSES-A), a measure designed to assess adolescents' self-efficacy in critical future skills: problem-solving, communication, creativity, collaboration, and critical thinking. Anchored in Social Cognitive Theory and Psychometric…
Descriptors: Measures (Individuals), Development, Validity, Self Efficacy
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Annalisa Cusi; Francesca Morselli – ZDM: Mathematics Education, 2024
We study the experts' practices developed with the support of digital technologies (DT), when they take aware in-the-moment decisions during classroom discussions to promote the development of effective formative assessment (FA) processes. In this investigation, we complement a macro-analysis of paradigmatic examples of classroom activities,…
Descriptors: Specialists, Formative Evaluation, Mathematics Instruction, Information Technology
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Paul P. Martin; Nicole Graulich – Journal of Science Education and Technology, 2024
Students who learn the language of instruction as an additional language represent a heterogeneous group with varying linguistic and cultural backgrounds, contributing to classroom diversity. Because of the manifold challenges these students encounter while learning the language of instruction, additional barriers arise for them when engaging in…
Descriptors: Second Language Learning, Language of Instruction, Student Diversity, Barriers
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Ethan R. Van Norman; Emily R. Forcht – Assessment for Effective Intervention, 2024
Curriculum-based measurement of reading (CBM-R) is a common assessment educators use to monitor student growth in broad reading skills and evaluate the effectiveness of instructional programs. Computer-adaptive tests (CATs), such as Star Reading, have been cited as a viable option to formatively assess reading growth. We used Bayesian…
Descriptors: Reading Improvement, Reading Skills, Reading Achievement, Curriculum Based Assessment
Aaron Christian Wenger – ProQuest LLC, 2024
Contemporary education research seeks causal inferences in order to guide policy and practice. Often well-controlled quasi-experimental and experimental designs are used as they are very useful for supporting and contextualizing causal inferences. Nevertheless, individual studies, even high-quality, resource-intensive randomized controlled trials,…
Descriptors: Science Education, Educational Research, Concept Mapping, Teaching Methods
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Eric Page; Gretchen Meyers; Eve Krahe Billings – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Recent advancements in generative artificial intelligence (AI) have disrupted assessment practices within the higher education sector. The efficacy of existing assessment approaches is under reexamination with the introduction of generative AI's ability to generate human-like text. Simultaneously, there are calls to integrate generative AI into…
Descriptors: Theory Practice Relationship, Artificial Intelligence, Technology Integration, Computer Software
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Wenshu Luo; Simon Qing Wei Lim – Educational Psychology, 2024
Based on an integrated theory of formative assessment and self-regulated learning, this study investigated the relationship between students' perceived formative assessment practices of teachers and their motivational beliefs (self-efficacy and incremental beliefs of ability) and self-regulation strategies (metacognitive self-regulation and…
Descriptors: Formative Evaluation, Student Attitudes, Student Motivation, Metacognition
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Mary A. Hansen – AERA Online Paper Repository, 2024
Prior to the COVID-19 pandemic, digital or virtual learning was gaining traction and popularity, but relatively small percentages of K-12 and post-secondary students engaged in virtual learning environments. The pandemic forced emergency remote learning, altering the landscape of education. While the long-term plans of K-12 school districts and…
Descriptors: COVID-19, Pandemics, Assessment Literacy, Electronic Learning
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Harnar, Michael A.; Hillman, Jeffrey A.; Endres, Cheryl L.; Snow, Juna Z. – American Journal of Evaluation, 2020
The term "meta-evaluation"--referring to the "evaluation of evaluations"--has been in the evaluation lexicon for a half-century. Despite this longevity, research on meta-evaluation is sparse and even more so for internal formative types of meta-evaluation. This exploratory study builds on our understanding of meta-evaluative…
Descriptors: Evaluation Methods, Formative Evaluation, Evaluation Research, Quality Assurance
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Grangeat, Michel; Harrison, Christine; Dolin, Jens – International Journal of Science Education, 2021
This article introduces this special issue by addressing the types of assessment practices that are possible within STEM inquiry classrooms, where the focus is on noticing, developing, and improving inquiry competencies. Three domains are explored: informal formative assessment occurring in classroom interactions; structured formative assessment…
Descriptors: Evaluation Methods, STEM Education, Inquiry, Active Learning
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Enu, Justice – Journal of Education and Learning (EduLearn), 2021
The purpose of this study was to look into the factors that influence mathematics teacher educators' formative assessment practices. This paper took a qualitative case study research design approach with six educators teaching mathematics in three teacher Colleges of Education in Ghana. The exploration focused on factors that hinders teacher…
Descriptors: Teacher Educators, Formative Evaluation, Mathematics Instruction, Foreign Countries
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Leenknecht, Martijn; Wijnia, Lisette; Köhlen, Martine; Fryer, Luke; Rikers, Remy; Loyens, Sofie – Assessment & Evaluation in Higher Education, 2021
Formative assessment can be seen as an integral part of teaching and learning, as formative assessment affects students' learning and vice versa. Students' motivation can theoretically be placed at the centre of this reciprocal relationship, as formative assessment is assumed to affect students' need satisfaction of autonomy, competence and…
Descriptors: Formative Evaluation, Student Motivation, Personal Autonomy, Competence
Brookhart, Susan M.; Oakley, Alice – ASCD, 2021
Student work is the primary means of learning in most if not all classroom lessons and the primary source of evidence about that learning. Yet research shows that many educators look at student work more to ascertain its correctness rather than to delve into what it reveals about students' thought processes and understanding. "Are you picking…
Descriptors: Student Evaluation, Cognitive Processes, Feedback (Response), Decision Making
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