This non-experimental causal-comparative study aims to explore the possible effect of expertise on learning experience design (LXD) deviation identification and the classification of these deviations in alignment with provided learning experience design constructs within a learning technology. Additionally, this study challenges Nielsen's (1993)…

Education researchers are deeply interested in understanding the way students organize their knowledge. Card sort tasks, which require students to group concepts, are one mechanism to infer a student's organizational strategy. However, the limited resolution of card sort tasks means they necessarily miss some of the nuance in a student's strategy.…

In programming problem solving activities, sometimes, students need feedback to progress in the course, being positively affected by the received feedback. This paper presents an overview of the state of the art and practice of the feedback approaches on introductory programming. To this end, we have carried out a systematic literature mapping to…

Various similarity measures for source code have been proposed, many rely on edit- or tree-distance. To support a lecturer in quickly assessing live or online exercises with respect to "approaches taken by the students," we compare source code on a more abstract, semantic level. Even if novice student's solutions follow the same idea,…

With a brief half-second presentation, a medical expert can determine at above chance levels whether a medical scan she sees is abnormal based on a first impression arising from an initial global image process, termed "gist." The nature of gist processing is debated but this debate stems from results in medical experts who have years of…

We examined how mushroom experts organize and process their knowledge, compared with novices, and which types of arguments they use to process information. Mushroom experts and novices carried out an identification/memorization task, a free recall task, and a matching task. Results showed that experts performed better than novices on all three…

This study developed a typology of eight heterogeneous types of baby boomer entrepreneurs and extended the occupational choice model regarding driving factors for entrepreneurialism in this population. The study relied on monthly USA Current Population Survey data across 11 years (2006-2016), and using 2-sample t-tests and multilevel mixed-effects…

The types of programming errors that novice programmers make and struggle to resolve have long been of interest to researchers. Various past studies have analyzed the frequency of compiler diagnostic messages. This information, however, does not have a direct correlation to the types of errors students make, due to the inaccuracy and imprecision…

Problem-solving categorization tasks have been well studied and used as an effective tool for assessment of student knowledge structure. In this study, a traditional free-response categorization test has been modified into a multiple-choice format, and the effectiveness of this new assessment is evaluated. Through randomized testing with Chinese…

Information literacy describes expertise in information problem-solving. This expertise includes facility in several endeavors addressed by the information behavior literature, including information needs, seeking, and use. Definitions and descriptions of information literacy suggest that this expertise is broadly applicable to a variety of…

Prior findings highlight school students' low motivation to study science, while 21st-century education aims to achieve their key competencies: scientific literacy and autonomous problem-solving to be prepared for smooth adaption to quickly changing circumstances. Real-life learning scenarios can meet these shortfalls to engage the learners by the…

As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…

Citation is an essential part of academic writing and allows writers to make strong arguments, review previous research, and express their opinions. This study investigates reporting verbs as a part of citation practice in the research articles published in Iranian and international journals (with different linguacultural backgrounds) in…

Memory for spatial location is typically biased, with errors trending toward the center of a surrounding region. According to the category adjustment model (CAM), this bias reflects the optimal, Bayesian combination of fine-grained and categorical representations of a location. However, there is disagreement about whether categories are malleable.…

Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…