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Megan N. Imundo; Maria Goldshtein; Micah Watanabe; Jiachen Gong; Nicole Crosby; Tracy Arner; Rod D. Roscoe; Danielle S. McNamara – Grantee Submission, 2025
Academic Status Reports (ASRs) are submitted by an instructor to indicate that a student is succeeding in the course or, more commonly, that the instructor is concerned about their progress or participation in the course (e.g., not attending class or not submitting assignments). ASR notifications are sent to students and may also be shared with…
Descriptors: Undergraduate Students, Academic Achievement, Identification, Early Intervention
Lori Pitcock – ProQuest LLC, 2022
The problem was general and special educators' perceptions of educational accomplishments and disability needs in twice-exceptional (2e) children may have possible drawbacks for referral admittance into the gifted program curriculum. Little research had been undertaken regarding the teacher perceptions of 2e on the identification process, creating…
Descriptors: Special Education Teachers, General Education, Teacher Attitudes, Gifted Disabled
Oscar Karnalim; Hapnes Toba; Meliana Christianti Johan – Education and Information Technologies, 2024
Artificial Intelligence (AI) can foster education but can also be misused to breach academic integrity. Large language models like ChatGPT are able to generate solutions for individual assessments that are expected to be completed independently. There are a number of automated detectors for AI assisted work. However, most of them are not dedicated…
Descriptors: Artificial Intelligence, Academic Achievement, Integrity, Introductory Courses
Rachel Dorlene Emerine Hicks – ProQuest LLC, 2024
In this dissertation, I explore the educational experiences and opportunities of youth, ages 15-30, in Solomon Islands. Based on research at two secondary schools in Solomon Islands and the communities surrounding them, this project examines the challenges young people face when pursuing secondary schooling and the cultural values that motivate…
Descriptors: Foreign Countries, Barriers, Student Motivation, Academic Achievement
Dieuwerke Rutgers; Michael Evans; Linda Fisher; Karen Forbes; Angela Gayton; Yongcan Liu – Journal of Language, Identity, and Education, 2024
Multilingualism is highly prevalent in schools around the world. Yet, the relationship between multilingualism and academic attainment is not well understood. Where research on this topic exists, it has predominantly focused on how home language background impacts on academic success, lacking in a broader view of multilingualism which extends…
Descriptors: Foreign Countries, Secondary School Students, Grade 10, Multilingualism
Rochdi Boudjehem; Yacine Lafifi – Education and Information Technologies, 2024
Teaching Institutions could benefit from Early Warning Systems to identify at-risk students before learning difficulties affect the quality of their acquired knowledge. An Early Warning System can help preemptively identify learners at risk of dropping out by monitoring them and analyzing their traces to promptly react to them so they can continue…
Descriptors: At Risk Students, Identification, Dropouts, Student Behavior
Data Quality Campaign, 2024
Recent data from statewide assessments, scores on the National Assessment of Educational Progress (NAEP), and college remediation needs show that an increasing number of K-12 students are not performing at grade level. As schools look to support these students' learning, some districts are turning to a proven strategy for identifying the students…
Descriptors: National Competency Tests, Academic Achievement, Elementary Secondary Education, At Risk Students
Rahul Kumar – Brock Education: A Journal of Educational Research and Practice, 2024
This essay critiques the emphasis on detecting artificial intelligence (AI) usage in student submissions and advocates for a shift towards the meaningful integration of AI in education. Citing data from Turnitin, it highlights the significant yet understated prevalence of AI in academic work. The discussion underscores the ideological, detection,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Identification, Technology Integration
Albreiki, Balqis; Habuza, Tetiana; Zaki, Nazar – International Journal of Educational Technology in Higher Education, 2023
Technological advances have significantly affected education, leading to the creation of online learning platforms such as virtual learning environments and massive open online courses. While these platforms offer a variety of features, none of them incorporates a module that accurately predicts students' academic performance and commitment.…
Descriptors: Identification, At Risk Students, Artificial Intelligence, Academic Achievement
Hudson-Holness, Davia; Minchala, Monica; Le, Uyen – International Journal of Research in Education and Science, 2022
Introductory Chemistry is a foundation course that provides students with the basic knowledge and skills to enable them to be successful in the subsequent General Chemistry courses. Despite being an introductory course, it is still challenging for many students, making it ideal for the implementation of various pedagogical initiatives. One such…
Descriptors: Academic Achievement, Introductory Courses, Chemistry, Identification
Plucker, Jonathan A.; Wells, April; Meyer, Melanie S. – Gifted Child Today, 2022
Identification for gifted and talented services is governed by state and local policies. Inclusive, student-centered policies can support equity and excellence by ensuring that all students have access to appropriate levels of academic challenge. Gifted programming standards, evidence-based interventions, and emerging strategies can provide…
Descriptors: Identification, Educational Policy, Equal Education, Academic Achievement
William L. Johnson; J. R. Hill; Annabel M. Johnson; Jared W. Johnson – Online Submission, 2025
This presentation was an invited address at the opening session of the 2021 Annual Conference for the Advancement of Science Teaching (CAST) in Ft. Worth, Texas. The presentation will investigate student achievement using three perspectives. The presenters will first ask if one could recognize a great teacher. They will then report research…
Descriptors: Teacher Effectiveness, Teacher Characteristics, Identification, Accuracy
D. Betsy McCoach; Scott Peters; Anthony J. Gambino; Daniel Long; Del Siegle – Grantee Submission, 2024
Teacher rating scales (TRS) often play a part in service eligibility decisions for gifted services. Although schools regularly use TRS to identify gifted students either as part of an informal nomination process or through behavioral rating scales, there is little research documenting the between-teacher variance in teacher ratings and the…
Descriptors: Gifted Education, Rating Scales, Academically Gifted, Academic Achievement
D. Betsy McCoach; Scott Peters; Anthony J. Gambino; Daniel Long; Del Siegle – Exceptional Children, 2024
Teacher rating scales (TRS) often play a part in service eligibility decisions for gifted services. Although schools regularly use TRS to identify gifted students either as part of an informal nomination process or through behavioral rating scales, there is little research documenting the between-teacher variance in teacher ratings and the…
Descriptors: Gifted Education, Rating Scales, Academically Gifted, Academic Achievement
Qiu, Wei; Supraja, S.; Khong, Andy W. H. – International Educational Data Mining Society, 2022
Predicting student performance in an academic institution is important for detecting at-risk students and administering early-intervention strategies. We propose a new grade prediction model that considers three factors: temporal dynamics of prior courses across previous semesters, short-term performance consistency, and relative performance…
Descriptors: Academic Achievement, Prediction, Grades (Scholastic), Models