Governments and educational authorities around the world are emphasizing performance evaluation of educational systems. Opinion Mining (OM) has gained acceptance among experts in various regions, including the preparation space. The proposed model involves Two modules: the data preprocessing module and the opinion mining module. The main objective…

Identification of key factors affecting the self-directed learning process in the virtual environment of medical education is vital. In this article, we designed a model that describes the self-directed learning process in the virtual learning environment for post graduate students of medical sciences in Iran. This study was carried out in two…

Testlets bring several perks in the development and administration of tests, such as 1) the construction of meaningful test items, 2) the avoidance of non-relevant context exposure, 3) the improvement of testing efficiency, and 4) the progression of testlet items requiring higher thinking skills. Thus, the inclusion of testlets in educational…

This thesis studies four independent resource allocation problems with different assumptions on information available to the central planner, and strategic considerations of the agents present in the system. We start off with an online, non-strategic agents setting in Chapter 1, where we study the dynamic pricing and learning problem under the…

Purpose: This study explores the factors that promote university teachers' switching intention from a traditional classroom to a smart classroom based on the push-pull-mooring (PPM) framework to enrich the theoretical research on the smart classroom and provide a reference for smart classroom promotion. Design/methodology/approach: The proposed…

Genetics is known to be one of the most challenging subjects in biology education because of its abstract concepts and processes. Therefore, hands-on experiments in authentic learning environments are supposed to increase comprehensibility and provide otherwise unavailable experiences to students. We applied a hands-on module in an out-of-school…

This paper describes an effective governance operating model that would encourage achieving enhanced good governance during the overall working of open and distance learning (ODL) institutions. The operating model is proposed to be comprised of three layers of network, namely the organisational design and governance system which include…

Aim/Purpose: This study investigates the key factors influencing the adoption and use of artificial intelligence (AI) applications among researchers, focusing on effort expectancy, satisfaction, perceived ease of use, and perceived usefulness, which shaped attitudes and drove AI adoption as a research assistant. Background: AI tools have rapidly…

The Teaching and Learning International Survey (TALIS) and the Programme for International Student Assessment (PISA) are large-scale measurements about teaching and learning. There is a link between TALIS indicators and PISA results. We investigated which countries are effective according to TALIS indicators as inputs and PISA 2015 mathematics,…

Many universities have implemented initiatives designed to address first year retention and persistence. Various prevention and support programs, including summer bridge programs, TRIO and Student Support Services, have been funded for the primary purpose of improving the outcomes of underserved populations. Although these initiatives and programs…

The empirical literature on academic intervention has increasingly promoted comparative research, moving the field forward in addressing the question, "What works best?" Poncy et al. (2015), Skinner (2008, 2010), and Skinner, Fletcher, and Henington (1996) have suggested that researchers enhance traditional evaluations of learning…

Learners' autonomous learning is at the heart of modern education, and the convenient network brings new opportunities for it. We notice that learners mainly use the combination of online and offline learning methods to complete the entire autonomous learning process, but most of the existing models cannot effectively describe the complex process…

Students who have graduated from high schools across the EU member states can choose from a wide variety of study programs and universities at which to pursue their degree studies. Each combination of a university and study program is unique, which further complicates student choice. Lack of information transparency regarding the unique…

This paper addresses a common challenge with computational cognitive models: identifying parameter values that are both theoretically plausible and generate predictions that match well with empirical data. While computational models can offer deep explanations of cognition, they are computationally complex and often out of reach of traditional…

Many of the analytical models commonly used in educational research often aim to maximize explained variance and identify variable importance within models. These models are useful for understanding general ideas and trends, but give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method rooted in…