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Bronkema, Ryan – College Teaching, 2018
As educators, we've all probably experienced presenting in new places and/or audiences, and having some sort of mishap. Therefore, as part of their professional preparation, we should prepare our students with realistic presentation practice, mishaps and all! Within this paper, I will outline a pedagogical tool that randomizes potential…
Descriptors: Public Speaking, Student Projects, Skill Development, Teaching Methods
Khan, Jalal Uddin – Online Submission, 2019
Having hardly learnt any English or having at best learnt wrong English (which is worse than no English) during their junior and secondary school years and having little or no exposure to English outside their classrooms, and partly due to certain weaknesses and shortcomings in what the teachers teach and how they teach, college students in some…
Descriptors: Grammar, Spelling, Pronunciation, English (Second Language)
Barone, Susan M.; Cargile, Carrie – English Teaching Forum, 2020
When it comes to L1 and L2 differences in second-language writing, some researchers are not fully convinced that there is a fundamental difference. However, when comparing L1 and L2 writing, many would agree that macro- and micro-level writing characteristics exist and overlap (Eckstein and Ferris 2018). This article identifies some of the…
Descriptors: Native Language, Second Language Learning, Second Language Instruction, English (Second Language)
McDougall, Dennis; Ornelles, Cecily; Rao, Kavita – College Student Journal, 2015
In this article, we identify eight common error patterns of nascent writers when they attempt to navigate the pathway to scholarly writing. We illustrate each error pattern via examples and counter-examples (corrections). We also describe how to identify such patterns, why those patterns might occur and persist, and why each pattern is…
Descriptors: Writing Skills, Error Patterns, Feedback (Response), Intervention
Sanders, Justin M.; Boleman, Michael W. – Physics Teacher, 2013
At our university, students in introductory physics classes perform a laboratory exercise to measure the range of a projectile fired at an assigned angle. A set of photogates is used to determine the initial velocity of the projectile (the launch velocity). We noticed a systematic deviation between the experimentally measured range and the range…
Descriptors: Physics, College Science, Introductory Courses, Science Laboratories
Bulamur, Ayse Naz – Universal Journal of Educational Research, 2013
I examine how American students respond to foreign instructors, who teach English Composition and Research Writing. I discuss how minority teacher's cultural, lingual, and ethnic differences interfere with classroom dynamics in the United States. I rely on my experiences as a Turkish instructor of composition at the University of Wisconsin,…
Descriptors: English (Second Language), Second Language Learning, Writing Instruction, Foreign Nationals
Andrew, Lane – PRIMUS, 2009
The fact that students have difficulties in constructing proofs is well documented. However, some of these difficulties may be lessened if instructors and students have access to a common evaluation framework. Operating in the theoretical tradition of heuristic inquiry, a proof error evaluation tool (PEET) is constructed that may be used by…
Descriptors: Feedback (Response), Evaluation Methods, Validity, Mathematical Logic
Al-Jarf, Reima – Online Submission, 2010
Spelling error corpora can be collected from students' written essays, homework, dictations, translations, tests and lecture notes. Spelling errors can be classified into whole word errors, faulty graphemes and faulty phonemes in which graphemes are deleted, added, reversed or substituted. They can be used for identifying phonological and…
Descriptors: Second Language Learning, English (Second Language), Spelling, Error Patterns
Futagi, Yoko; Deane, Paul; Chodorow, Martin; Tetreault, Joel – Computer Assisted Language Learning, 2008
This paper describes the first prototype of an automated tool for detecting collocation errors in texts written by non-native speakers of English. Candidate strings are extracted by pattern matching over POS-tagged text. Since learner texts often contain spelling and morphological errors, the tool attempts to automatically correct them in order to…
Descriptors: Native Speakers, English (Second Language), Limited English Speaking, Computational Linguistics
Colangelo, Annette; Holden, John G.; Buchanan, Lori; Van Orden, Guy C. – Brain and Language, 2004
This article contrasts aphasic patients' performance of word naming and lexical decision with that of intact college-aged readers. We discuss this contrast within a framework of self-organization; word recognition by aphasic patients is destabilized relative to intact performance. Less stable performance shows itself as an increase in the…
Descriptors: Aphasia, Patients, College Students, Word Frequency

Donley, Philip – Mosaic: A Journal for Language Teachers, 1997
Proposes strategies for reducing foreign language anxiety in the classroom: (1) discuss feelings with instructor and other students; (2) relax, exercise, and eat well; (3) prepare for and attend every class; (4) keep foreign language class in perspective; (5) seek opportunities to practice the language and accept errors are a part of the learning…
Descriptors: Anxiety, College Students, Communication Apprehension, Error Patterns
Krug, Clara – 1981
Based on the premise that teaching basic writing involves first understanding what tends to go wrong when students write, a computer assisted system of error prediction and analysis was designed to improve college students' writing skills in both English and French. Students were to complete a sequenced series of writing assignments first in…
Descriptors: College Students, Computer Assisted Testing, English, Error Analysis (Language)
Walker, Gail; Kuchak, JoAnn – 1980
The type, number, and scope of errors on Basic Educational Opportunity Grant (BEOG) program applications were estimated in a replication of a 1976-1977 Internal Revenue Service (IRS) Comparison Study. Information reported on BEOG applicants and IRS income tax returns was compared for various categories of applicants. The study provides information…
Descriptors: College Students, Comparative Analysis, Data Collection, Disclosure
Saavedra, Pedro; And Others – 1980
Parameters and procedures for developing an error-prone model (EPM) to predict financial aid applicants who are likely to misreport on Basic Educational Opportunity Grant (BEOG) applications are introduced. Specifications to adapt these general parameters to secondary data analysis of the Validation, Edits, and Applications Processing Systems…
Descriptors: Accountability, College Students, Disclosure, Eligibility
Gray, Susan; And Others – 1980
The impact of quality assurance procedures on the correct award of Basic Educational Opportunity Grants (BEOGs) for 1979-1980 was assessed, and a model for detecting error-prone applications early in processing was developed. The Bureau of Student Financial Aid introduced new comments into the edit system in 1979 and expanded the pre-established…
Descriptors: Accountability, College Students, Disclosure, Eligibility
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