Maintaining and cultivating student engagement is critical for learning. Understanding factors affecting student engagement can help in designing better courses and improving student retention. The large number of participants in massive open online courses (MOOCs) and data collected from their interactions on the MOOC open up avenues for studying…

Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…

With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…

Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…

Past research has demonstrated that commitment to the environment strongly predicts global pro-environmental intentions. This research is the first to examine whether the commitment to the environment model predicts college students' endorsement of institutional-level changes that may be proposed by university or college administration.…

Predicting student academic performance has long been an important research topic in many academic disciplines. The present study is the first study that develops and compares four types of mathematical models to predict student academic performance in engineering dynamics--a high-enrollment, high-impact, and core course that many engineering…

This study examined pre-service teachers' self-reported intention to use technology. One hundred fifty-seven participants completed a survey questionnaire measuring their responses to six constructs from a research model that integrated the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB). Structural equation modeling was…

A recent resurgence in logical-rule theories of categorization has motivated the development of a class of models that predict not only choice probabilities but also categorization response times (RTs; Fific, Little, & Nosofsky, 2010). The new models combine mental-architecture and random-walk approaches within an integrated framework and…

The respective roles of social cognitive career theory and cognitive information processing in career exploratory behavior were analyzed. A verified path model shows cognitive information processing theory's negative career thoughts inversely predict social cognitive career theory's career problem-solving self-efficacy, which predicts career…

This article outlines shortcomings of currently used university admissions tests and discusses ways in which they could potentially be improved, summarizing two projects designed to enhance college and university admissions. The projects were inspired by the augmented theory of successful intelligence, according to which successful intelligence…

This research examined whether the SAT and ACT would predict college grade point average (GPA) after removing g from the tests. SAT and ACT scores and freshman GPAs were obtained from a university sample (N=161) and the 1997 National Longitudinal Study of Youth (N=8984). Structural equation modeling was used to examine relationships among g, GPA,…

The Landscape Model of text comprehension was extended to the comprehension of audiovisual discourse from text and video TV news stories. Concepts from the story were coded for activation after each sequence, creating a matrix of activations that was reduced to a vector of the degree of total activation for each concept. In Study 1, the degree…

Examined the structure of occupations based on judgments of similarity, compared this structure with those derived from subjects' (N=26) responses to interest inventories, and compared the circular and hierarchical models. Results indicated that a combination of the circular and hierarchical models is preferable to either model alone. (LLL)

Four global memory models were evaluated in 3 recognition memory experiments with 30 college students. Experiments provide receiver operating characteristic (ROC) curves. Data give a clear idea of the behavior of signal and noise distributions in recognition memory. Ways in which results support revision of current models are discussed. (SLD)

This study was designed to explore relationships between type and token frequencies and contextual position effects; specifically, the major question was whether or not vowel cluster pronunciation preferences of adult readers were more affected by frequency of occurrence than by graphemic environment. Two opposing hypotheses were tested regarding…