Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 23 |
Descriptor
Academic Achievement | 29 |
Computer Software | 29 |
Evaluation Methods | 29 |
Student Evaluation | 13 |
Computer Assisted Testing | 11 |
Educational Technology | 10 |
Learning Processes | 9 |
Models | 9 |
Foreign Countries | 8 |
Teaching Methods | 8 |
Scores | 7 |
More ▼ |
Source
Author
James, Amy | 3 |
Azevedo, Ana, Ed. | 1 |
Azevedo, José, Ed. | 1 |
Baker, Eva L. | 1 |
Beltyukova, Svetlana A. | 1 |
Bjelica, Momcilo | 1 |
Bulgakov-Cooke, Dina | 1 |
Chen, Angie | 1 |
Chen, Yao-Hsien | 1 |
Cheng, Ching-Hsue | 1 |
Cota, Manuel Pérez | 1 |
More ▼ |
Publication Type
Education Level
Elementary Secondary Education | 7 |
Higher Education | 7 |
Postsecondary Education | 6 |
Junior High Schools | 5 |
Secondary Education | 5 |
Elementary Education | 4 |
Middle Schools | 4 |
High Schools | 3 |
Grade 1 | 2 |
Grade 7 | 2 |
Kindergarten | 2 |
More ▼ |
Audience
Parents | 3 |
Teachers | 3 |
Administrators | 1 |
Researchers | 1 |
Students | 1 |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 2 |
Assessments and Surveys
Program for International… | 1 |
What Works Clearinghouse Rating
Zhaofeng Zeng; Siew Wei Tho; Zhengfang Gao; Nur Hamiza Adenan; Sue Ting Ng – International Journal of Education in Mathematics, Science and Technology, 2024
This study aims to review the STEM education intervention on the undergraduate level by applying CiteSpace software, an innovative tool for bibliometric analysis and visualization. The Web of Science (WOS) database was used and covers the period from January 2008 to August 2023. Based on keyword search, seven clusters with the largest research…
Descriptors: STEM Education, Undergraduate Students, Databases, Information Retrieval
Picones, Gio; PaaBen, Benjamin; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2022
In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…
Descriptors: Prediction, Academic Achievement, Learning Analytics, Concept Mapping
Silva, António; Rocha, Álvaro; Cota, Manuel Pérez – International Journal of Information and Communication Technology Education, 2015
This paper introduces a new method of communication between the school and the family, using an Electronic Booklet developed in the course of the authors' investigation project with the purpose of rendering the communication between both parties more effective. Today there is a general agreement, within educational sciences, as to the fundamental…
Descriptors: Family School Relationship, Electronic Publishing, Learning Processes, Role
Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides
Leblanc, Michael; Dufore, Emily; McDougal, James – Journal of Applied School Psychology, 2012
Cutscores for reading and math (general outcome measures) to predict passage on New York state-mandated assessments were created by using a freely available Excel workbook. The authors used linear regression to create the cutscores and diagnostic indicators were provided. A rationale and procedure for using this method is outlined. This method…
Descriptors: Academic Achievement, Regression (Statistics), School Personnel, Evaluation Methods
Santos, Marc Ericson C.; Chen, Angie; Taketomi, Takafumi; Yamamoto, Goshiro; Miyazaki, Jun; Kato, Hirokazu – IEEE Transactions on Learning Technologies, 2014
Augmented reality (AR) technology is mature for creating learning experiences for K-12 (pre-school, grade school, and high school) educational settings. We reviewed the applications intended to complement traditional curriculum materials for K-12. We found 87 research articles on augmented reality learning experiences (ARLEs) in the IEEE Xplore…
Descriptors: Simulated Environment, Educational Technology, Technology Uses in Education, Meta Analysis
Sondergeld, Toni A.; Beltyukova, Svetlana A.; Fox, Christine M.; Stone, Gregory E. – Mid-Western Educational Researcher, 2012
Scientifically based research used to inform evidence based school reform efforts has been required by the federal government in order to receive grant funding since the reenactment of No Child Left Behind (2002). Educational evaluators are thus faced with the challenge to use rigorous research designs to establish causal relationships. However,…
Descriptors: Research Design, Research Tools, Simulation, Educational Research
Troy, Talbot; Bulgakov-Cooke, Dina – Wake County Public School System, 2013
In 2010-11, Wake County Public School System (WCPSS), North Carolina Department of Public Instruction (NCDPI), and SMART Technologies began a two-year collaboration to promote the use of formative assessment in mathematics classrooms at three Wake County public schools: Millbrook Elementary, East Millbrook Middle, and Millbrook High school. The…
Descriptors: School Districts, Public Schools, Technology Uses in Education, Formative Evaluation
Spencer, Laura K. – ProQuest LLC, 2010
The problem: The problem addressed in this study was to examine how teacher attitudes towards software applications affect student achievement in the classroom. Method: A correlational study was conducted, and 50 fourth and fifth grade teachers who taught in the Santee School District, were administered a survey assessing their attitudes…
Descriptors: Academic Achievement, Computer Software, Classrooms, Grade 4
Chen, Yao-Hsien; Cheng, Ching-Hsue; Liu, Jing-Wei – Computers & Education, 2010
In order to evaluate student learning achievement, several aspects should be considered, such as exercises, examinations, and observations. Traditionally, such an evaluation calculates a final score using a weighted average method after awarding numerical scores, and then determines a grade according to a set of established crisp criteria.…
Descriptors: Feedback (Response), Academic Achievement, Student Evaluation, Grading
Bjelica, Momcilo; Rankovic, Dragica – Turkish Online Journal of Distance Education, 2010
The development of computer science, statistics and other technological fields, give us more opportunities to improve the process of evaluation of degree of knowledge and achievements in a learning process of our students. More and more we are relying on the computer software to guide us in the grading process. An improved way of grading can help…
Descriptors: Evaluation Methods, Student Evaluation, Distance Education, Academic Achievement
Winne, Philip H. – Educational Psychologist, 2010
Articles in this special issue present recent advances in using state-of-the-art software systems that gather data with which to examine and measure features of learning and particularly self-regulated learning (SRL). Despite important advances, there remain challenges. I examine key features of SRL and how they are measured using common tools. I…
Descriptors: Metacognition, Computer Software, Data Collection, Self Control
Pai, Ping-Feng; Lyu, Yi-Jia; Wang, Yu-Min – Computers & Education, 2010
Rough set theory (RST) is an emerging technique used to deal with problems in data mining and knowledge acquisition. However, the RST approach has not been widely explored in the field of academic achievement. This investigation developed an improved RST (IMRST) model, which employs linear discriminant analysis to determine a reduct of RST, and…
Descriptors: Academic Achievement, Discriminant Analysis, Foreign Countries, Junior High School Students
Williamson, Ronald – Education Partnerships, Inc., 2011
Every school district has policies and procedures for evaluating teachers that are shaped by state law and local collective bargaining agreements. As a result of No Child Left Behind and other accountability legislation many states modified requirements about the frequency of evaluation and now require the use of student achievement data as one…
Descriptors: Educational Technology, Evaluation Methods, Collective Bargaining, Teacher Evaluation
Doyle, John Kevin; Meeker, Ralph D. – College Teaching Methods & Styles Journal, 2008
The authors assign semester- or quarter-long team-based projects in several Computer Science and Finance courses. This paper reports on our experience in designing, managing, and evaluating such projects. In particular, we discuss the effects of team size and of various peer evaluation schemes on team performance and student learning. We report…
Descriptors: College Instruction, Computer Science, Information Systems, Money Management
Previous Page | Next Page »
Pages: 1 | 2