Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…

In the present paper, we assess whether website rating systems are useful for selecting educational apps for preschool age children. We selected the 10 highest scoring and 10 lowest scoring apps for 2-4-year-olds from two widely used websites (Good App Guide; Common Sense Media). Apps rated highly by the two websites had a higher educational…

This article introduces the NFL7 (Nuclear Family List 7), a list of the 2,887 most frequent "nuclear" word families, that is, families that include just the most frequent family members and exclude those that constitute less than 7% of family occurrences. The NFL7 was developed by using a dedicated computer program, the Nuclear List…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

This study quantitatively measures the variation in language derived from a targeted set of digital game mechanics. Mechanics refer to the design elements of a game that make up the overall gameplay experience, determining player actions and the degree of language interaction. A corpus was compiled by extracting the language files from two popular…

Cyberbullying is the use of digital communication tools and spaces to inflict physical, mental, or emotional distress. This serious form of aggression is frequently targeted at, but not limited to, vulnerable populations. A common problem when creating machine learning models to identify cyberbullying is the availability of accurately annotated,…

This dissertation investigates how bilinguals use their two grammars to comprehend written intra-sentential codeswitches. I focus on adjective/noun constructions in Spanish and English where I manipulate the congruence of grammatical word order in the two languages across the codeswitch boundary. This allows me to test three codeswitching…

The use of machine translation (MT) in the academic context has increased in recent years. Hence, language teachers have found it difficult to ignore MT, which has led to some concerns. Among the concerns, its accuracy has become a major factor that shapes language teachers' pedagogical decision to use MT in their language classrooms. Despite the…

This paper compares and analyzes a selection of popular multilevel tests used for quick accreditation of English as a foreign language worldwide. The paper begins by stating the current need of accreditation of English language competence for both academic and professional matters. It then looks at their defining features and differences. After,…

This study examined the forms and functions of reformulation markers (RMs) in the three disciplines of philosophy, economics, and biology to see whether there is any disciplinary variation regarding these linguistic devices and their functions in essays written by undergraduate students. To this purpose, two corpora of university students' essays…

Translators employ an array of tools to streamline the translation process, ensuring precision and coherence. The necessity of these tools is particularly pronounced when tackling authentic materials, such as texts from the United Nations (UN). Among these tools, corpora stand out as a pivotal resource. In light of this, this study undertook a…

Background: Deficits in the ability to use language in social contexts, including storytelling skills, are observed across the autism spectrum. Development in machine-learning approaches may contribute to clinical psychology and psychiatry, given its potential to support decisions concerning the diagnosis and treatment of psychiatric conditions…

The present study investigated the speaking module of TOEFL iBT with an emphasis on the dichotomy of independent and integrated tasks. The potential differences between the two speaking conditions were intended to be explored based on the oral performance elicited from a group of Iranian test takers. To collect the required data, a simulated…

In measuring learners' productivity in writing and speaking, there is a formulation known as syntactic and lexical complexity. This study investigates whether there is a difference in syntactic and lexical complexity between L1 and L2 writings or not. This study is quantitative research which employ Web-Based Lexical Complexity Analyser and…

This research tries to investigate the importance of mobile translation apps when carrying out translation activities in the classroom. Specifically, this is a semester-long study which attempts to see how beneficial it is to allow translation students enrolled in the translation program at the Department of Languages and Translation at Birzeit…