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This paper presents a low-cost microcontroller-based data acquisition device. The key component of the presented solution is a configurable microcontroller-based device with an integrated USB transceiver and a 12-bit analogue-to-digital converter (ADC). The presented embedded DAQ device contains a preloaded program (firmware) that enables easy acquisition and generation of analogue and digital signals and data transfer between the device and the application running on a PC via USB bus. This device has been developed as a USB human interface device (HID). This USB class is natively supported by most of the operating systems and therefore any installation of additional USB drivers is unnecessary. The input/output peripheral of the presented device is not static but rather flexible, and could be easily configured to customised needs without changing the firmware. When using the developed configuration utility, a majority of chip pins can be configured as analogue input, digital input/output, PWM output or one of the SPI lines. In addition, LabVIEW drivers have been developed for this device. When using the developed drivers, data acquisition and signal processing algorithms as well as graphical user interface (GUI), can easily be developed using a well-known, industry proven, block oriented LabVIEW programming environment.

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Ó ñòàòò³ ïðîàíàë³çîâàí³ ð³çí³ âàð³àíòè ðåàë³çàö³¿ äèäàêòè÷íèõ ïðèíöèï³â êîíòðîëþ ïðè âèêîðèñòàíí³ íàâ÷àëüíî¿ ñèñ-òåìè MOODLE. The article analyzes various options for implementation of the didactic principles of control when using the learning system MOODLE. Âñòóï. Äëÿ ïîâíîö³ííî¿ é åôåêòèâíî¿ íàâ÷àëüíî¿ ä³ÿëüíîñò³ âàaeëèâèì º ïðàâèëüíî ñïëàíîâàíèé, ñèñ-òåìàòè÷íèé, ïîâíîö³ííèé ³ ñòðóêòóðîâàíèé êîíòðîëü çàñâîºíèõ çíàíü, óì³íü ³ íàâè÷îê ñòóäåíò³â, ÿêèé ìຠâ³äïîâ³äàòè çàãàëüíîäèäàêòè÷íèì âèìîãàì îðãàí³-çàö³¿ êîíòðîëþþ÷èõ ä³é. Îäíèì ³ç íàéá³ëüø åôåêòèâ-íèõ çàñîá³â êîíòðîëþ º ³íôîðìàö³éí³ òåõíîëî㳿 (²Ò) [1, 2]. Íà äàíèé ÷àñ ³ñíóº áåçë³÷ ìîaeëèâîñòåé âèêîðèñ-òàííÿ ²Ò äëÿ âäîñêîíàëåííÿ, ³íòåíñèô³êàö³¿ ³ îïòèì³-çàö³¿ íàâ÷àëüíîãî ïðîöåñó ó âèù³é øêîë³. Äîñë³äaeåí-íÿìè òà âïðîâàäaeåííÿì òàêîãî âèãëÿäó ³ííîâàö³é çàéìàºòüñÿ áàãàòî ïåäàãîã³â-äîñë³äíèê³â [3, 4]. Àíàë³çóþ÷è ìîaeëèâîñò³ ï³äâèùåííÿ ÿêîñò³ òðàäè-ö³éíîãî íàâ÷àííÿ, áóëî âèÿâëåíî, ùî îäíèì ç îïòè-ìàëüíèõ øëÿõ³â º âïðîâàäaeåííÿ äèñòàíö³éíèõ ôîðì îðãàí³çàö³¿ íàâ÷àëüíî¿ ä³ÿëüíîñò³, îñê³ëüêè öå íàäຠçðó÷íîñò³, ãíó÷êîñò³, ìîá³ëüíîñò³ ³ øâèäêîñò³ íàâ÷àëü-íîìó ïðîöåñó [1, 5]. Àñèì³ëÿö³ÿ ñòàö³îíàðíî¿ òà äèñòàíö³éíî¿ ôîðì íà-â÷àííÿ ðîçãëÿäàºòüñÿ íà ì³aeíàðîäíîìó ð³âí³, ïî÷è-íàþ÷è ç ê³íöÿ ÕÕ ñòîë³òòÿ, ³ ¿¿ àêòóàëüí³ñòü ïîñò³éíî çðîñòàº. ßê ñòâåðäaeóþòü ïåäàãîãè-ïðàêòèêè, âè-êîðèñòàííÿ òàêèõ çì³øàíèõ ôîðì íàâ÷àííÿ (blended learning) äîïîìàãຠçäîëàòè ïðîñòîðîâ³ ³ òèì÷àñîâ³ áàð’ºðè â íàâ÷àëüíîìó ïðîöåñ³, äຠìîaeëèâ³ñòü ðåà-ë³çîâóâàòè ³íäèâ³äóàëüíå ³ ãðóïîâå íàâ÷àííÿ. Öå ñòâî-ðþº ïåðåäóìîâè äëÿ âèêîðèñòàííÿ íàéá³ëüø åôåê-òèâíèõ ³ çðó÷íèõ êîìï’þòåðíèõ ñèñòåì, ñïðèÿº ôîð-ìóâàííþ ó ìàéáóòí³õ ôàõ³âö³â ìåòîäè÷íèõ óì³íü åôåêòèâíî çä³éñíþâàòè â ìàéáóòíüîìó äèñòàíö³éíó ï³äòðèìêó ïðè âèâ÷åíí³ ïåâíî¿ äèñöèïë³íè. ßê îäèí ç âàð³àíò³â çãàäàíî¿ àñèì³ëÿö³¿ ôîðì äèñòàíö³éíîãî ³ ñòàö³îíàðíîãî íàâ÷àííÿ ïðîïîíóºìî âèêîðèñòàííÿ åëåêòðîííîãî íàâ÷àëüíîãî ñåðåäîâèùà äèñòàíö³éíî¿ îñâ³òè MOODLE (Modular Object-Oriented Dynamic Learning Enviroment) [1, 2]. Îñíîâíà ÷àñòèíà. Âèõîäÿ÷è ç îñíîâíèõ ìîaeëè-âîñòåé äàíîãî âèãëÿäó ²Ò, ìຠì³ñöå ìîaeëèâ³ñòü óð³ç-íîìàí³òíèòè êîíòðîëü, ïðèñêîðèòè êîíòðîëüíî-îö³íþ-âàëüíèé êîìïîíåíò, àâòîìàòèçóâàòè çâîðîòíèé çâ’ÿ-çîê, êîíòðîëþâàòè ñàìîñò³éíó ðîáîòó ñòóäåíòà ³ òîìó ïîä³áíå. Äëÿ òîãî ùîá êîíòðîëü â³äïîâ³äàâ óñ³ì òèì âèìîãàì, íåîáõ³äíî çàáåçïå÷èòè éîãî â³äïîâ³äí³ñòü áàãàòüîì ïàðàìåòðàì ³ õàðàêòåðèñòèêàì. Ó ïåðøó ÷åðãó, öå â³äïîâ³äí³ñòü çàãàëüíîäèäàêòè÷íèì ïðèí-öèïàì êîíòðîëþ çàñâîºíèõ çíàíü, óì³íü ³ íàâèê³â, òà-êèõ, ÿê: ïëàíîì³ðí³ñòü, ñèñòåìàòè÷í³ñòü, ñèñòåìí³ñòü, îᒺêòèâí³ñòü, ãëàñí³ñòü, ÿñí³ñòü, â³äêðèò³ñòü, åêî-íîì³÷í³ñòü, äîñòóïí³ñòü, äèôåðåíö³éîâàí³ñòü, ³íäèâ³-äóàëüí³ñòü, òåìàòè÷í³ñòü, ºäí³ñòü âèìîã, ïîâíîòà ³ ãëèáèíà çàñâîºííÿ çíàíü, óì³íü ³ íàâè÷îê, ìàñîâ³ñòü, ïðîñòîòà, 䳺â³ñòü, äîáðîçè÷ëèâ³ñòü. Çàâäÿêè âèêî-ðèñòàííþ ñèñòåìè åëåêòðîííîãî íàâ÷àííÿ MOODLE ðåàë³çàö³ÿ ïåðåðàõîâàíèõ ïðèíöèï³â ñòຠïîâí³ñòþ ìîaeëèâîþ ³ ðåàëüíîþ. Íàïðèêëàä, ïðèíöèï ïëàíî-ì³ðíîñò³ áóäå çàáåçïå÷åíèé ÷åðåç ñòðóêòóðîâàí³ñòü ñàìîãî åëåêòðîííîãî êóðñó ³ ìîaeëèâ³ñòü ïðè ðåäà-ÂÄÎÑÊÎÍÀËÅÍÍß ...