The Covid pandemic upended translation teaching globally. The forced move to online teaching represented a gargantuan challenge for anyone only experienced in face-to-face teaching. Online translation teaching requires distinct approaches to guarante
e that students can reach the targeted learning goals. This paper presents a literature review on the provision of effective feedback in the light of these drastic changes in translation teaching as well as a description as how existing research on online feedback for translation training has been applied to the design of online courses at the translation program at Rutgers University.
The ongoing COVID-19 pandemic has brought online education to the forefront of pedagogical discussions. To make this increased interest sustainable in a post-pandemic era, online courses must be built on strong pedagogical foundations. With a long hi
story of pedagogic research, there are many principles, frameworks, and models available to help teachers in doing so. These models cover different teaching perspectives, such as constructive alignment, feedback, and the learning environment. In this paper, we discuss how we designed and implemented our online Natural Language Processing (NLP) course following constructive alignment and adhering to the pedagogical principles of LTU. By examining our course and analyzing student evaluation forms, we show that we have met our goal and successfully delivered the course. Furthermore, we discuss the additional benefits resulting from the current mode of delivery, including the increased reusability of course content and increased potential for collaboration between universities. Lastly, we also discuss where we can and will further improve the current course design.
Natural Language Processing offers new insights into language data across almost all disciplines and domains, and allows us to corroborate and/or challenge existing knowledge. The primary hurdles to widening participation in and use of these new rese
arch tools are, first, a lack of coding skills in students across K-16, and in the population at large, and second, a lack of knowledge of how NLP-methods can be used to answer questions of disciplinary interest outside of linguistics and/or computer science. To broaden participation in NLP and improve NLP-literacy, we introduced a new tool web-based tool called Natural Language Processing 4 All (NLP4All). The intended purpose of NLP4All is to help teachers facilitate learning with and about NLP, by providing easy-to-use interfaces to NLP-methods, data, and analyses, making it possible for non- and novice-programmers to learn NLP concepts interactively.
We seek to create agents that both act and communicate with other agents in pursuit of a goal. Towards this end, we extend LIGHT (Urbanek et al. 2019)---a large-scale crowd-sourced fantasy text-game---with a dataset of quests. These contain natural l
anguage motivations paired with in-game goals and human demonstrations; completing a quest might require dialogue or actions (or both). We introduce a reinforcement learning system that (1) incorporates large-scale language modeling-based and commonsense reasoning-based pre-training to imbue the agent with relevant priors; and (2) leverages a factorized action space of action commands and dialogue, balancing between the two. We conduct zero-shot evaluations using held-out human expert demonstrations, showing that our agents are able to act consistently and talk naturally with respect to their motivations.
In this paper we provide an account of how we ported a text and data mining course online in summer 2020 as a result of the COVID-19 pandemic and how we improved it in a second pilot run. We describe the course, how we adapted it over the two pilot r
uns and what teaching techniques we used to improve students' learning and community building online. We also provide information on the relentless feedback collected during the course which helped us to adapt our teaching from one session to the next and one pilot to the next. We discuss the lessons learned and promote the use of innovative teaching techniques applied to the digital such as digital badges and pair programming in break-out rooms for teaching Natural Language Processing courses to beginners and students with different backgrounds.
We present a set of assignments for a graduate-level NLP course. Assignments are designed to be interactive, easily gradable, and to give students hands-on experience with several key types of structure (sequences, tags, parse trees, and logical form
s), modern neural architectures (LSTMs and Transformers), inference algorithms (dynamic programs and approximate search) and training methods (full and weak supervision). We designed assignments to build incrementally both within each assignment and across assignments, with the goal of enabling students to undertake graduate-level research in NLP by the end of the course.
In this article, we show and discuss our experience in applying the flipped classroom method for teaching Conditional Random Fields in a Natural Language Processing course. We present the activities that we developed together with their relationship
to a cognitive complexity model (Bloom's taxonomy). After this, we provide our own reflections and expectations of the model itself. Based on the evaluation got from students, it seems that students learn about the topic and also that the method is rewarding for some students. Additionally, we discuss some shortcomings and we propose possible solutions to them. We conclude the paper with some possible future work.
This study aims to determine the degree of representation of the first circle pupils of
primary teaching to the values of citizenship in the context of the Syrian crisis according to
variables : the kind of staying (A comer pupil -A habitant pupil
)and family state (martyr's
son ), but to achieve this, a questionnaire was developed to included(35) paragraphs to
measure the degree of representation of the pupils to the values of citizenship , and
applied on a sample of (240) pupils. By depending on the suitable statistic ways, the study
found that the degree represents pupils for citizenship values were middle , and the
highest value was rights and duties and the next was the values of respecting others and
acceptation the difference with middle degree ,then the values of belonging, lastly
participation and interaction with middle degree the study also found that there is
statistically significant difference at the level of significance (α ≥ 0.05) between pupils'
degree on all the axis of the questionnaire according to the variable of the kind of staying
exception for the interaction and participation, and it is for emigrants ,and the study also
found that there isn't statistically significant difference at the level of significance (α ≥
0.05) between pupils' degree according to the variable of family state.
The current research aims to identify the degree of Practicing Strategic Planning of
and the degree of the quality assurance level in faculty of education at Tishreen University
from the view point of the Teaching Staff Members, and also and to stu
dy the relationship
between the degree of Practicing Strategic Planning and quality assurance level in it.
and to achieve the objectives of this research questionnaires were built, the first
about strategic planning included four areas, and consisted (50) items, while the second
about quality assurance consisted (20) items; have been applied on sample (72) Teaching
Staff Members in faculty of education at Tishreen University during the academic year of
(2016 - 2017). Descriptive analytical methodology was used, and Validity of the
questionnaire was established though a jury of (7) of the teaching staff at Syrian
Universities. Pilot sample consisted of (22) Members, Reliability was established by
Cronbach – Alpha Reliability (0.87) to Strategic Planning questionnaire and (0.73) to
quality assurance questionnaire.
The study aimed at investigating linguistic performances of the teachers of Arabic
language and their relation to their attitudes towards teaching. The sample of the study
consisted of 40 Arabic teachers from the public schools in the Northeastern
Badia
Directorate of Education.
To achieve the purpose of study, analytical descriptive approach was used. The instruments
of the study were a note card, and a measure of trends towards the teaching. The results of
the study showed that the linguistic performances of Arabic teachers and their attitudes
toward teaching were medium which indicates a strong correlation between their linguistic
performances and their attitudes toward teaching.
