Predicting student performance using data mining and learning analysis technique in Libyan Higher Education

Saleh, Mahjouba Ali; Palaniappan, Sellappan; Abdallah, Nasaraldeen Ali Alghazali; Baroud, Muftah Mohamed

doi:10.21533/pen.v9i3.2212

Cited by 5 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then concatenate the two vectors to form a more comprehensive representation for the student S, which can be expressed as Eq. (19).…”

Section: Academic Performance Predictionmentioning

confidence: 99%

See 1 more Smart Citation

Two-Way Neural Network Performance Prediction Model Based on Knowledge Evolution and Individual Similarity

Wang,

Guo,

Shen

2024

CMES

View full text Add to dashboard Cite

Predicting students' academic achievements is an essential issue in education, which can benefit many stakeholders, for instance, students, teachers, managers, etc. Compared with online courses such as MOOCs, students' academicrelated data in the face-to-face physical teaching environment is usually sparsity, and the sample size is relatively small. It makes building models to predict students' performance accurately in such an environment even more challenging. This paper proposes a Two-Way Neural Network (TWNN) model based on the bidirectional recurrent neural network and graph neural network to predict students' next semester's course performance using only their previous course achievements. Extensive experiments on a real dataset show that our model performs better than the baselines in many indicators.

show abstract

“…Then concatenate the two vectors to form a more comprehensive representation for the student S, which can be expressed as Eq. (19).…”

Section: Academic Performance Predictionmentioning

confidence: 99%

“…It can also enhance the quality of teaching and learning, aiding students to succeed in their academic paths [17]. Most education-related researches focus on this goal [18][19][20]. Analyzing big education data and revealing the hidden information will benefit all stakeholders, such as learners, teachers, and managers.…”

Section: Introductionmentioning

confidence: 99%

Two-Way Neural Network Performance Prediction Model Based on Knowledge Evolution and Individual Similarity

Wang,

Guo,

Shen

2024

CMES

View full text Add to dashboard Cite

show abstract

“…An outcome-based education is a performance oriented model with the core idea of defining the end product [12]. In OBE the focus of teaching moved from traditional teacher goals to student learning outcomes [13]. It is a teaching and learning strategy that focuses on outcomes of knowledge, competence, and orientation [14].…”

Section: Literature Reviewmentioning

confidence: 99%

Automating assessment and evaluation for a bachelor’s degree program

Chowdhury,

Chisty,

Tushar

et al. 2023

IJERE

View full text Add to dashboard Cite

<span lang="EN-US">Outcome-based education (OBE) makes learning happen and measures automating assessment and evaluation system. The objective of the study is to assess student’s learning in International Finance course and report OBE and propose strategies for continual quality improvement (CQI). In this study, a widely accepted self-developed spreadsheet used to measure course learning outcomes (CLO) and program learning outcomes (PLO) of international finance in a bachelor’s degree program of fall 2021. The method of sampling technique is purposive and a sample of 27 students have been considered for the analysis. Using direct method on specific parameters (quiz, assignment, presentation, and exams), an overall CLO attainment has been measured and compared with a targeted key performance indicators (KPI) (70% is set). Findings reveal that the first three out of five CLO have met the standard KPI. However, a CQI has been proposed for further improvement of CLO. Also, future works proposed to instrument CQI processes, engage industry experts and external OBE experts from foreign universities. Program self-assessment is mandatory for quality assurance at university and also preparation for accreditation of the program needs self-assessment. Therefore, CLO is mandatory for assessment and evaluation urgently.</span>

show abstract