Assessment is a key component of education. Routine grading of students' work, however, is time consuming. Automating the grading process allows instructors to spend more of their time helping their students learn and engaging their students with more open-ended, creative activities. One way to automate grading is through computer-based…

Online collaborative learning is implemented extensively in higher education. Nevertheless, it remains challenging to help learners achieve high-level group performance, knowledge elaboration, and socially shared regulation in online collaborative learning. To cope with these challenges, this study proposes and evaluates a novel automated…

Event concepts of common verbs (e.g. "eat," "sleep") can be broadly shared across languages, but a given language's rules for subcategorization are largely arbitrary and vary substantially across languages. When subcategorization information does not match between first language (L1) and second language (L2), how does this…

The study examines the effects of using computer delivered Processing Instruction (PI) to teach English reflexives. Thirty intermediate ESL learners participated in the pretest-treatment-posttest study. Participants received the input-based PI activities. Gains were assessed by traditional offline tasks such as sentence interpretation and…

VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…

The present study investigated how response mode (oral vs. manual) modulates the Stroop effect using a picture variant of the Stroop task in which participants named orally, or identified with a manual keypress, line drawings of animals (e.g., camel). Consistent with previous color-response Stroop studies, relative to the nonlinguistic neutral…

Causal sequences can be segmented into cause and effect. However, some argue causal relations in discourse are by default in "effect-cause" order. Others claim "cause-effect" order is easier to process and the default way of expressing causality, due to iconicity. We conducted experiments testing participants' production…

Recent research investigating embedded stem priming effects with the masked priming paradigm and pseudoword primes (e.g., "quickify"--"quick") has shown that priming effects can be obtained even when the embedded target word is followed by a non-morphological ending (e.g., "quickald"--"quick"). Here we…

Two experiments explored the hypothesis that anaphors and demonstratives signal different procedural instructions: Whereas the anaphor "it" brings a concrete entity into a reader's focus, the demonstrative "this" directs the focus to a predicate proposition in a discourse representation. The findings from an online eye-tracking…

To help EFL learners realize the use of nominals and clauses in practicing productive skills of academic writing in English writing tests, experiments have been exploited using the tasks similar to those of internet-based test of English as a foreign language to determine the nominal and clause level information during sentence and paragraph…

Pragmatic competence is among the explicitly acknowledged sub-competences that make the communicative competence in any language (Bachman & Palmer, 1996; Council of Europe, 2001). Within the notion of pragmatic competence itself, "implicature (implied meanings)" comes to the fore as one of the five main areas there (Levinson, 1983).…

Previous research has suggested that some discourse relations are easier to convey implicitly than others due to cognitive biases in the interpretation of discourse. In this article we argue that relations involving a perspective shift, such as confirmation relations, are difficult to convey implicitly. We assess this claim with two empirical…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

Purpose: The purpose of this paper is twofold: first the paper aims to sketch the theoretical basis for the use of electronic portfolios for prior learning assessment; second it endeavours to introduce latent semantic analysis (LSA) as a powerful method for the computation of semantic similarity between texts and a basis for a new observation link…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…